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ORCIDIJCNN 2023: Gold Coast, Australia
- International Joint Conference on Neural Networks, IJCNN 2023, Gold Coast, Australia, June 18-23, 2023. IEEE 2023, ISBN 978-1-6654-8867-9
- Qingyang Zhang, Yiming Yang
, Jingqing Ruan, Xuantang Xiong, Dengpeng Xing, Bo Xu:
Balancing Exploration and Exploitation in Hierarchical Reinforcement Learning via Latent Landmark Graphs. 1-8 - Alberto Marchisio, Antonio De Marco, Alessio Colucci, Maurizio Martina, Muhammad Shafique:
RobCaps: Evaluating the Robustness of Capsule Networks against Affine Transformations and Adversarial Attacks. 1-9 - Guoqiang Shi, Zhi Lin, Anjie Peng, Hui Zeng:
An Enhanced Transferable Adversarial Attack Against Object Detection. 1-7 - Wenfeng Huang, Xiangyun Liao, Yinling Qian, Wenjing Jia:
Learning Hierarchical Semantic Information for Efficient Low-Light Image Enhancement. 1-8 - Nikolaos Dionelis, Richard Jackson, Sotirios A. Tsaftaris, Mehrdad Yaghoobi:
SLX: Similarity Learning for X-Ray Screening and Robust Automated Disassembled Object Detection. 1-8 - Sahaj Singh Maini, James Mochizuki-Freeman, Chirag Shankar Indi, Brandon G. Jacques, Per B. Sederberg, Marc W. Howard, Zoran Tiganj:
Representing Latent Dimensions Using Compressed Number Lines. 1-10 - Alberto Archetti, Matteo Matteucci:
Federated Survival Forests. 1-9 - Zecheng Zhang, Xianfeng Han, Guoqiang Xiao:
IFA-Net: Isomerous Feature-aware Network for Single-view 3D Reconstruction. 1-8 - Yan Zhao, Huifang Ma, Wentao Wang, Weiwei Gao, Jing Wang, Xiangchun He:
Improving Knowledge Tracing with Diverse Question Factors. 1-7 - Yiqi Lin, Ru Wang:
Bandit-NAS: Bandit Sampling Method for Neural Architecture Search. 1-8 - Josimar Edinson Chire Saire, Liang Zhao:
Complex Network-Based Data Classification Using Minimum Spanning Tree Metric and Optimization. 1-7 - Wenjue He, Zheng Zhang:
Adaptive Topological Graph Learning for Generalized Multi-View Clustering. 1-8 - Ziqing Lu, Chang Xu, Bo Du:
MultiDrop: A Local Rademacher Complexity-Based Regularization for Multitask Models. 1-6 - Dianbo Ma, Jianqiang Xiao, Ziyan Gao, Satoshi Yamane:
Staged Depthwise Correlation and Feature Fusion for Siamese Object Tracking. 1-8 - Shijun Zou, Wei Wu:
A Robust Hybrid Identification Framework Combines Gait And Face Recognition. 1-6 - Tong Zhu, Zhaoxia Yin, Wanli Lyu, Jiefei Zhang, Bin Luo:
Imperceptible Adversarial Attack on S Channel of HSV Colorspace. 1-7 - Jinshan Zeng, Ruiying Xu, Yu Wu, Hongwei Li, Jiaxing Lu:
Zero-Shot Chinese Character Recognition with Stroke- and Radical-Level Decompositions. 1-9 - Ke Liu, Shangde Gao, Kaifan Yang, Yuqiang Han:
PCVAE: A Physics-informed Neural Network for Determining the Symmetry and Geometry of Crystals. 1-8 - Yan Guo, Yuying Zhu, Mingyang Hu, Shuiyuan Ding:
An Improved Branch Entropy Based Method for Chinese New Words Detection. 1-8 - Alan Perotti, Paolo Bajardi, Francesco Bonchi, André Panisson:
Explaining Identity-aware Graph Classifiers through the Language of Motifs. 1-8 - Maximilian Wohlschläger, Nina Leiter, Maximilian Dietlmeier, Martin G. J. Löder, Martin Versen, Christian Laforsch:
Comparison of Two Classification Methods Trained with FD-FLIM Data to Identify and Distinguish Plastics from Environmental Materials. 1-9 - Xingming Luo, Yaochi Zhao, Zhuhua Hu, Yanfei Zhu, Jiezhuo Zhong:
Defense Against Reconstruction Attacks in Split Federated Learning Through Decreasing Correlation Between Inputs and Activations. 1-8 - Chengchao Xu, Xinmei Tian:
Semantic-Aware Mixup for Domain Generalization. 1-8 - Changchun Wen, Hu Liang, Shengrong Zhao:
LCCN: A Lightweight Capture Context Network for Image Super-Resolution. 1-8 - Corneliu T. C. Arsene, Alessandra Parisio:
Deep Learning Models for Multi-Energy Prediction of Combined Electrical, Heat and Gas network systems. 1-8 - Xuewei Li, Pinjie Li, Ruixuan Zhang, Chenhan Wang, Xi Wei, Mankun Zhao:
Adversarial Domain Adaptation Network with Enhanced Feature Discriminability for Thyroid Ultrasound Images. 1-8 - Jiaxin Ai, Zhongyuan Wang, Baojin Huang, Zhen Han:
DeepReversion: Reversely Inferring the Original Face from the DeepFake Face. 1-7 - Mei Yu, Pengtao Fan, Mankun Zhao, Wenbin Zhang, Yue Zhao, Ming Yang, Jian Yu:
MASZSL: A Multi-Block Attention-Based Description Generative Adversarial Network for Knowledge Graph Zero-Shot Relational Learning. 1-8 - Liangxuan Zhu, Han Li, Wen Wen, Lingjuan Wu, Hong Chen:
Modal Neural Network: Robust Deep Learning with Mode Loss Function. 1-8 - Zhe Sun, Zongwen Yang, Zhongyu Huang, Yu Zhang, Jianzhong Zhang:
Interesting Near-boundary Data: Inferring Model Ownership for DNNs. 1-8 - Piotr A. Kowalski, Maciej Walczak:
Feature selection for regression tasks base on explainable artificial intelligence procedures. 1-8 - Xinyang Li, Xinyu Lei, Yantao Li, Huafeng Qin, Yiwen Hu:
Towards Inference of Original Graph Data Information from Graph Embeddings. 1-10 - Xianhui Cheng, Shoumeng Qiu, Zhikang Zou, Jian Pu, Xiangyang Xue:
Understanding Depth Map Progressively: Adaptive Distance Interval Separation for Monocular 3d Object Detection. 1-8 - Anil Yemme, Shayan Srinivasa Garani:
A Scalable GPT-2 Inference Hardware Architecture on FPGA. 1-8 - Mehdi Rafiei, Alexandros Iosifidis:
Class-Specific Variational Auto-Encoder for Content-Based Image Retrieval. 1-8 - Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci, Tinne Tuytelaars:
Continual Learning with Pretrained Backbones by Tuning in the Input Space. 1-9 - Marcel Hoffmann, Lukas Galke, Ansgar Scherp:
Open-World Lifelong Graph Learning. 1-9 - Junhao Zhang, Junjie Tang, Juncheng Jin, Zehui Qu:
Spatio-Temporal Pre-Training Enhanced Fast Pure Tansformer Network for Traffic Flow Forecasting. 1-8 - Sarah Alhammad, Brian C. Lovell:
Knowing the Unknown: Open-set Bacteria Classification in Gram Stain Microscopic Images. 1-8 - Aurélien Renault, Alexis Bondu, Vincent Lemaire, Dominique Gay:
Automatic Feature Engineering for Time Series Classification: Evaluation and Discussion. 1-10 - Daniel Lukas Rothenpieler, Shahin Amiriparian:
METEOR Guided Divergence for Video Captioning. 1-7 - Shuyi Zhang, Jing Li, Jun Chang, Mingfeng Wang, Kai Zhu:
Two-way Cross-domain Recommendation with Central Social Influence. 1-8 - Yiwei Luo, Min Jiang:
Solving Continual Learning with Noisy Labels by Sample Selection and Replay. 1-8 - Mohan Timilsina, Samuele Buosi, Adrianna Janik, Pasquale Minervini, Luca Costabello, Maria Torrente, Mariano Provencio, Virginia Calvo, Carlos Camps, Ana L. Ortega, Bartomeu Massutí, M. Rosario Garcia Campelo, Edel del Barco, Joaquim Bosch-Barrera, Vít Novácek:
Machine Learning Survival Models for Relapse Prediction in a Early Stage Lung Cancer Patient. 1-8 - Weidong Tian, Ruihua Tian, Zhongqiu Zhao, Quan Ren:
An Answer FeedBack Network for Visual Question Answering. 1-7 - Guang Yang, Yin Tang, Jun Li, Jianhua Xu, Xili Wan:
AMD: Adaptive Masked Distillation for Object Detection. 1-8 - Xiaofeng Zhang, Yudi Zhao, Chaochen Gu, Changsheng Lu, Shanying Zhu:
SpA-Former:An Effective and lightweight Transformer for image shadow removal. 1-8 - Kathleen Anderson, Philipp Grüning, Erhardt Barth:
Connections Between Pairs of Filters Improve the Accuracy of Convolutional Neural Networks. 1-7 - Daniel Köglmayr, Christoph Räth:
A fast reservoir computing based image encryption algorithm. 1-7 - Wen Gu, Jianglin Lan, Byron Mason:
Filter-based Online Neuro-Fuzzy Model Learning using Noisy Measurements. 1-6 - Mohammed Yusuf Ansari, Iffa Afsa Changaai Mangalote, Dima Masri, Sarada Prasad Dakua:
Neural Network-based Fast Liver Ultrasound Image Segmentation. 1-8 - Vishu Gupta, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
Pre-Activation based Representation Learning to Enhance Predictive Analytics on Small Materials Data. 1-8 - Xin Lian, Zhiqiu Huang, Chao Wang:
AKD: Using Adversarial Knowledge Distillation to Achieve Black-box Attacks. 1-7 - Ting Lu, Haitao Jiang, Shan Chang, Guohua Liu:
Improving Math Word Problems Solver with Logical Semantic Similarity. 1-8 - Francesco Lattari, Vincenzo Santomarco, Riccardo Santambrogio, Alessio Rucci, Matteo Matteucci:
CycleSAR: SAR Image Despeckling as Unpaired Image-to-Image Translation. 1-8 - Adnan Ahmad, Vinh Loi Chau, Antonio Robles-Kelly, Shang Gao, Longxiang Gao, Lianhua Chi, Wei Luo:
Bio-Inspired Dual-Network Model to Tackle Statistical Heterogeneity in Federated Learning. 1-8 - Yuanhao Li:
Clustering joint Locality Preserving Projections. 1-10 - Xiaodong Ma, Weiwei Fang:
Deep Reinforcement Learning Based Multi-Task Automated Channel Pruning for DNNs. 1-9 - Zhou Jiang, Jing Yang, Chunyu Xuan, Dong Zhang, Shaoyi Du:
Color-Difference Correntropy Guided Convolution Network for Point Cloud Semantic Segmentation. 1-8 - Tengfei Liu, Yongli Hu, Puman Chen, Yanfeng Sun, Baocai Yin:
Zero-Shot Text Classification with Semantically Extended Textual Entailment. 1-8 - Mathieu Renault, Siamak Mehrkanoon:
SAR-UNet: Small Attention Residual UNet for Explainable Nowcasting Tasks. 1-8 - Peter Steiner, Azarakhsh Jalalvand, Peter Birkholz:
Non-Standard Echo State Networks for Video Door State Monitoring. 1-8 - Songda Li, Yunqi Zhang, Yuquan Lan, Hui Zhao, Gang Zhao:
From Implicit to Explicit: A Simple Generative Method for Aspect-Category-Opinion-Sentiment Quadruple Extraction. 1-8 - Yuxi Liu, Zhenhao Zhang, Campbell Thompson, Richard Leibbrandt, Shaowen Qin, Antonio Jimeno-Yepes:
Stacked Attention-based Networks for Accurate and Interpretable Health Risk Prediction. 1-8 - Youjin Seo, ByeongChang Jeong, Yeji Yoon, Daegyeom Kim, JuHong Min, Cheol E. Han:
3D Super Resolution for Non-Isotropic Medical Image Through Multi-Input 3D ResUnet. 1-6 - Fan Wan, Junyan Wang, Haoran Duan, Yang Song, Maurice Pagnucco, Yang Long:
Community-Aware Federated Video Summarization. 1-8 - Hongzhang Mu, Shuili Zhang, Quangang Li, Tingwen Liu, Hongbo Xu:
Adapt-to-Learn Policy Network for Abstractive Multi-document Summarization. 1-8 - Shayan Gharib, Arto Klami:
Extending Interpolation Consistency Training for Unsupervised Domain Adaptation. 1-8 - Chenhao Cui, Xinnian Liang, Shuangzhi Wu, Zhoujun Li:
Learning Unified Video-Language Representations via Joint Modeling and Contrastive Learning for Natural Language Video Localization. 1-8 - Ziwei Wang, Jun Zeng, Hongjin Tao, Lin Zhong:
RBPSum: An extractive summarization approach using Bi-Stream Attention and Position Residual Connection. 1-8 - Mohamed Arbane, Mohamed Essaid Khanouche, Ghazaleh Khodabandelou, Abdelghani Chibani, Yacine Amirat:
DRSU-net: Depth-Residual Separable U-net model for Semantic Segmentation. 1-6 - Lilan Peng, Xiu Wang, Hongchun Lu, Xiangyu Guo, Tianrui Li, Shenggong Ji:
Dynamic Spatio-Temporal Multi-Scale Representation for Bus Ridership Prediction. 1-9 - Hongjie Zhang, Haoming Ma, Zhenyu Chen:
FastAct: A Lightweight Actor Compression Framework for Fast Policy Learning. 1-8 - Zhangwei Li, Yuhui Deng, Zhimin Tang, Junhao Huang:
SFMNet: Self-guided Feature Mining Network for Vehicle Re-identification. 1-8 - Rui Chen, Guotao Liang, Chenrui Ma, Qilong Han, Li Li, Xiao Huang:
HTP: Exploiting Holistic Temporal Patterns for Sequential Recommendation. 1-8 - Jinqiao Dou, Xi Chen, Yuehai Wang:
Specialty may be better: A decoupling multi-modal fusion network for Audio-visual event localization. 1-8 - Sadaf Md. Halim, Saquib Irtiza, Yibo Hu, Latifur Khan, Bhavani Thuraisingham:
WokeGPT: Improving Counterspeech Generation Against Online Hate Speech by Intelligently Augmenting Datasets Using a Novel Metric. 1-10 - Meng Liu, Jianjun Li, GuoHui Li, Zhiqiang Guo, Chaoyang Wang, Peng Pan:
Cross Domain Deep Collaborative Filtering without Overlapping Data. 1-8 - Yinglin Zhang, Zichao Cai, Risa Higashita, Jiang Liu:
LoGo Transformer: Hierarchy Lightweight Full Self-Attention Network for Corneal Endothelial Cell Segmentation. 1-7 - Ni Yang, Meng Yang:
Multi-hop Attention GNN with Answer-Evidence Contrastive Loss for Multi-hop QA. 1-7 - Pedram Agand, Mo Chen, Hamid D. Taghirad:
Online Probabilistic Model Identification Using Adaptive Recursive MCMC. 1-8 - Muhammad Tanveer, Shradha Verma, Rahul Sharma, Tripti Goel, Ponnuthurai N. Suganthan:
Weighted Kernel Ridge Regression based Randomized Network for Alzheimer's Disease Diagnosis using Susceptibility Weighted Images. 1-8 - Xiulan Yuan, Xuegang Hu, Pei-Pei Li:
Multi-source Multi-label Feature Selection. 1-8 - Yuanzhe Yang, Li Yang, Lingwei Li, Xiaoxiao Ma, Lei Yu, Chun Zuo:
DccGraph: Detecting Criminal Communities with Augmented Criminal Network Construction and Graph Neural Network. 1-8 - Upadrasta Naga Sita Sravanthi, Kamalakar Dadi, Bapi Raju Surampudi, P. N. Sylaja, C. Kesavadas, Srijithesh PR, Rinta Paul:
Application of Graph Theoretic measures for assessing efficacy of Stroke Rehabilitation. 1-9 - Hong Guo, Jianwu Lin, Fanlin Huang:
Market Making with Deep Reinforcement Learning from Limit Order Books. 1-8 - Zhihao Fan, Huiyong Li, Shasha Mo, Jianwei Niu:
Topic-Aware Modeling for Unsupervised Extractive Summarization. 1-8 - Pourya Shamsolmoali, Masoumeh Zareapoor:
Entropy Transformer Networks: A Learning Approach via Tangent Bundle Data Manifold. 1-8 - Pengcheng Du, Tao Deng, Fei Yan:
What Causes a Driver's Attention Shift? A Driver's Attention-Guided Driving Event Recognition Model. 1-8 - Youwen Zhang, Xudong Wang, Linlin Wang, Ke Yan, Huan Chen:
Out-of-Scope Intent Detection with Supervised Deep Metric Learning. 1-8 - Shitong Xiao, Rui Chen, Qilong Han, Riwei Lai, Hongtao Song, Li Li:
Proxy-Aware Cross-Domain Sequential Recommendation. 1-8 - Rodrigo Exterkoetter, Gustavo Rachid Dutra, Leandro Passos de Figueiredo, Fernando Luis Bordignon, Alexandre Anozé Emerick, Gilson Moura Silva Neto, Mauro Roisenberg:
Deep Feature Extraction for Data Assimilation with Ensemble Smoother. 1-8 - Bingde Hu, Wenjie Huang, Tongya Zheng, Mingli Song, Ying Li:
A General Heterogeneous Hypergraph Neural Network for Node Classification. 1-7 - Jin Huang, Yoonsuck Choe:
Evolution of Proxy Use in Neural Network Controllers for Crowd Modeling. 1-8 - Yuta Yajima, Jun Kato, Akihiro Inokuchi:
The Third Common Interface for Graph Neural Networks. 1-8 - Leandro Anghinoni, Yu-tao Zhu, Donghong Ji, Liang Zhao:
TransGNN: A Transductive Graph Neural Network with Graph Dynamic Embedding. 1-8 - Ying Liu, Liucheng Guo, Valeri A. Makarov, Yuxiang Huang, Alexander N. Gorban, Evgeny M. Mirkes, Ivan Yu. Tyukin:
Agile gesture recognition for capacitive sensing devices: adapting on-the-job. 1-8 - Tianle Zhang, Zhen Liu, Zhiqiang Pu, Jianqiang Yi, Xiaolin Ai, Wanmai Yuan:
Learning Cooperative Policies with Graph Networks in Distributed Swarm Systems. 1-8 - Jindian Su, Xiaobin Lin, Yunhao Xie, Zehua Cheng:
CCCSpell: A Consistent and Contrastive Learning Approach with Character Similarity for Chinese Spelling Check. 1-8 - Yuwei Mao, Shahriyar Keshavarz, Vishu Gupta, Andrew C. E. Reid, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
AI for Learning Deformation Behavior of a Material: Predicting Stress-Strain Curves 4000x Faster Than Simulations. 1-8 - Zhaokun Zhou, Shuaijian Ji, Yuqing Wang, Zhenyu Weng, Yuesheng Zhu:
TRMER: Transformer-Based End to End Printed Mathematical Expression Recognition. 1-6 - Ming Wu, Qiufen Ni, Jigang Wu:
Relation-Aware Graph Attention Network for Multi-Behavior Recommendation. 1-8 - Satoru Koda, Alon Zolfi, Edita Grolman, Asaf Shabtai, Ikuya Morikawa, Yuval Elovici:
Pros and Cons of Weight Pruning for Out-of-Distribution Detection: An Empirical Survey. 1-10 - Xin Guo, Xuejing Wang, Qian Chen, Suge Wang, Jianxing Zheng, Jian Liao, Hui Liu:
Heterogeneous Graph Interaction based Event Extraction with Attentional Position Embeddings. 1-8 - Deepthi Praveenlal Kuttichira, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang:
Novel Automatic Deep Learning Feature Extractor with Target Class Specific Feature Explanations. 1-8 - Simone Sarti, Eugenio Lomurno, Andrea Falanti, Matteo Matteucci:
Enhancing Once-For-All: A Study on Parallel Blocks, Skip Connections and Early Exits. 1-9 - Huan Liu, Mingwen Shao, Yuanjian Qiao, Fukang Liu:
An Efficient Frequency Domain Separation Network for Paired and Unpaired Image Super-Resolution. 1-8 - Meng Chen, Jun Gao, Wuxin Yu, Hujian Peng:
LD2-YOLO: A Defect Detection Method for Automotive Composite Leather. 1-8 - Tingting Hu, Tao Zhang:
An Anchor-Free Detector to Detect Small Objects. 1-7 - Shuang Cui, Fanjiang Xu, Xiongxin Tang, Quan Zheng:
Model Driven Deep Unfolding Network for Extreme Low-Light Image Enhancement and Denoising. 1-8 - S. K. Abhilash, Venu Madhav Nookala, Adithya Babu, Karthik S, Mithun VR:
MHCP-RCNN: Multi-Human Color Parsing Segmentation using Multi-Task Network. 1-8 - Peter G. Stratton, Tara J. Hamilton, Andrew Wabnitz:
Unsupervised Feature Vector Clustering Using Temporally Coded Spiking Networks. 1-7 - Xiaobing Li, Yan Tang:
Time Series Enhanced Graph Neural Networks for Session-based Recommendation. 1-8 - Zhe Wen, Qingyi Si, Zheng Lin, Huan Liu, Peng Fu, Weiping Wang:
Schema Item Matters in Knowledge Base Question Answering. 1-8 - Hanwen Liu, Yi Chen, Zihang Zeng, Malu Zhang, Hong Qu:
A Low Power and Low Latency FPGA-Based Spiking Neural Network Accelerator. 1-8 - Yabin Zhang, Weiqi Shao, Xu Chen, Yali Du, Xiaoxiao Xu, Dong Zheng, Changhua Pei, Shuai Zhang, Peng Jiang, Kun Gai:
A Multi-Agent Framework for Recommendation with Heterogeneous Sources. 1-8 - Haitian Yang, Degang Sun, Yan Wang, Nan Zhao, Shixiang Zhang, Weiqing Huang:
AdaptParse: Adaptive Contextual Aware Attention Network for Log Parsing via Word Classification. 1-8 - Bowen Jiang, Tao Yue, Xuemei Hu:
Thermal Noise Removal of Magnetic Resonance Images: A Deep Learning Approach Based on an Attentive Residue Multi-Dilated Network with Adaptive Filtering and Discrete Cosine Transform. 1-10 - Jimson Paulo Layacan, Aengus Martin Donaire, Harvey Felipe, Clark Kendrick Go:
Revealing Causal Graph Structure in Pigeon Flocks Using Attentions in Temporal ConvNet. 1-7 - Anísio Lacerda, Claudio Almeida, Leonardo Augusto Ferreira, Adriano C. M. Pereira, Gisele L. Pappa, Wagner Meira Jr., Débora M. Miranda, Marco Aurélio Romano-Silva, Leandro Malloy Diniz:
Algorithmic Recourse in Mental Healthcare. 1-8 - Thanh Toan Nguyen, Quang Duc Nguyen, Zhao Ren, Jun Jo, Quoc Viet Hung Nguyen, Thanh Tam Nguyen:
10X Faster Subgraph Matching: Dual Matching Networks with Interleaved Diffusion Attention. 1-9 - Hongzhi Hua, Guixuan Wen, Kaigui Wu:
Building Decision Forest via Deep Reinforcement Learning. 1-8 - Anastasia-Sotiria Toufa, Constantine Kotropoulos, Ioannis Tsingalis:
Dual Hypergraph Features for Path Inference in Wikipedia Links. 1-7 - Jindi Li, Kui Yu, Yuling Li, Yuhong Zhang:
TransD-based Multi-hop Meta Learning for Few-shot Knowledge Graph Completion. 1-8 - Abdollah Masoud Darya, Ilias Fernini, Marley M. B. R. Vellasco, Abir Hussain:
Morphological Classification of Extragalactic Radio Sources Using Gradient Boosting Methods. 1-8 - Tong Wang, Xiaohui Kuang, Huan Deng, Taotao Gu, Wei Kong, Jianwen Tian, Gang Zhao:
Risk Scenario Generation for Autonomous Driving Systems based on Scenario Evaluation Model. 1-8 - Léo Déchaumet, Younès Bennani, Joseph Karkazan, Abir Barbara, Charles Dacheux, Thomas Gregory:
Modular Self-Supervised Learning for Hand Surgical Diagnosis. 1-8 - Rong Xie:
An Energy Theft Detection Framework with Privacy Protection for Smart Grid. 1-7 - Yikemaiti Sataer, Zhiqiang Gao, Xuelian Li:
Disease Diagnosis with Cost-Sensitive Grouped Features Based on Deep Reinforcement Learning. 1-7 - Shun Zhang, Quansheng Dou, Huanling Tang, Hao Pan, Huixian Wang:
SQL Synthesis with Input-Output Example Based on Deep Learning. 1-8 - Francesco Leofante, Patrick Henriksen, Alessio Lomuscio:
Verification-friendly Networks: the Case for Parametric ReLUs. 1-9 - Yinan Wang, Zhijun Xie, Libo Zhuang, Kewei Chen, Yuntao Xie:
Lightweight Ghost Dense Network for Tomato Leaf Disease Identification. 1-8 - Khanh-Van Nguyen, Md. Rafiqul Islam, Huan Huo, Peter Tilocca, Guandong Xu:
Explainable exclusion in the life insurance using multi-label classifier. 1-8 - Zhilei Zhu, Wanli Dong, Xiaoming Gao, Anjie Peng:
Towards infrared human pose estimation via Transformer. 1-8 - Chuyu Wang, Xianfeng Han, Guoqiang Xiao:
PointCMT: An MLP-Transformer Network for Contrastive Learning of Point Representation. 1-6 - Jiaxuan Chen, Haotian Chen, Ryosho Nakane, Gouhei Tanaka, Akira Hirose:
Time-domain Fading Channel Prediction Based on Spin-wave Reservoir Computing. 1-8 - Shidong Chen, Huicong Bian, Yalun Wang, Weixiao Li, Qin Lu:
LFLD: A Lightweight Facial Landmark Detector Based on Auxiliary Heatmap. 1-8 - Zetai Jiang, Sanchuan Tian, Fang Kong:
BSQA: Bidirectional Stacked Question Answering Architecture for End-to-end Event Extraction. 1-7 - Islam Nasr, Lobna Nassar, Fakhri Karray, Mohamed Bin Zayed:
Enhanced Deep Learning Satellite-based Model for Yield Forecasting and Quality Assurance Using Metamorphic Testing. 1-6 - Zhiqiang Nie, Jiankun Zhao, Qicheng Li, Yong Qin:
CyFormer: Accurate State-of-Health Prediction of Lithium-Ion Batteries via Cyclic Attention. 1-8 - Yifan Wang, Eaven Huang, Runan Wang, Tuo Leng:
BSDA in Visual Recognition: Balanced Semantic Data Augmentation for Long-Tailed Data. 1-8 - Qingting Xu, Yu Hong, Jiaxiang Chen, Jianmin Yao, Guodong Zhou:
Data Augmentation via Back-translation for Aspect Term Extraction. 1-8 - Aldo Marcelo Paim, Fabrício Enembreck:
Adaptive Linear Regression for Data Stream. 1-8 - Jann Goschenhofer, Bernd Bischl, Zsolt Kira:
ConstraintMatch for Semi-constrained Clustering. 1-10 - Qi Deng, Yaqian Zhao, Rengang Li, Qifu Hu, Tiejun Liu, Ruyang Li:
Context - Enhanced Meta-Reinforcement Learning with Data-Reused Adaptation for Urban Autonomous Driving. 1-8 - Andriy Sarabakha, Qiao ZhongZheng, Savitha Ramasamy, Ponnuthurai Nagaratnam Suganthan:
Online Continual Learning for Control of Mobile Robots. 1-10 - Ching-Yu Chang, Chun-Ting Ye, Tzer-jen Wei:
Image-to-Image Translation on Defined Highlighting Regions by Semi-Supervised Semantic Segmentation. 1-9 - Jonghyun Kim, Gen Li, Joongkyu Kim:
Referenceless User Controllable Semantic Image Synthesis. 1-8 - Wenbo Shi, Wenming Yang, Qingmin Liao:
Boosting External-Reference Image Quality Assessment by Content-Constrain Loss and Attention-based Adaptive Feature Fusion. 1-8 - Yuping Xia, Fanjiang Xu, Quan Zheng:
Zero-shot Adaptive Low Light Enhancement with Retinex Decomposition and Hybrid Curve Estimation. 1-8 - Zeyu Wang, Makoto Ikeda:
High-Throughput Privacy-Preserving GRU Network with Homomorphic Encryption. 1-9 - Andrzej Nowakowski, Radoslaw Matusik, Anna Michalak:
Fixed-time stabilization for impulsive neural networks. 1-8 - Andrea Cavallo, Claas Grohnfeldt, Michele Russo, Giulio Lovisotto, Luca Vassio:
GCNH: A Simple Method For Representation Learning On Heterophilous Graphs. 1-8 - Juarez Monteiro, Nathan Gavenski, Felipe Meneguzzi, Rodrigo C. Barros:
Self-Supervised Adversarial Imitation Learning. 1-8 - Yunce Zhao, Dashan Gao, Yinghua Yao, Zeqi Zhang, Bifei Mao, Xin Yao:
Robust Deep Learning Models against Semantic-Preserving Adversarial Attack. 1-8 - Chao-Ying Zhang, Wei-Xing Li, Li-Dan Kuang, Qiu-Hua Lin:
Incorporating Spatial Sparsity Constraint into Complex IVA of Multi-subject Complex-Valued fMRI Data. 1-6 - Dominik Zurek, Roberto Corizzo, Michal Karwatowski, Marcin Pietron, Kamil Faber:
Transformed-*: A domain-incremental lifelong learning scenario generation framework. 1-10 - Rohit Raj, V. Susheela Devi:
Towards Robustness of Few-Shot Text Classifiers. 1-8 - Peketi Divya, Vishnu Chalavadi, C. Krishna Mohan, Yen-Wei Chen:
FLWGAN: Federated Learning with Wasserstein Generative Adversarial Network for Brain Tumor Segmentation. 1-8 - Sérgio Baldo Júnior, Murillo G. Carneiro, João-Batista Destro-Filho, Liang Zhao, Renato Tinós:
Classification of coma etiology using convolutional neural networks and long-short term memory networks. 1-8 - Zongpeng Zhang, Zenan Ling, Tong Lin, Zhouchen Lin:
Gradient Descent Optimizes Normalization-Free ResNets. 1-8 - Junrui Xiao, Zhikai Li, Lianwei Yang, Qingyi Gu:
Patch-wise Mixed-Precision Quantization of Vision Transformer. 1-7 - James O'Neill, Sourav Dutta:
Gradient Sparsification For Masked Fine-Tuning of Transformers. 1-8 - Vadlamani Madhav, Vivek Saraswat, Udayan Ganguly:
Optimizing Throughput and Latency of Static 5G Multicast Networks using Boltzmann Machines. 1-8 - Tosin P. Adewumi, Mofetoluwa Adeyemi, Aremu Anuoluwapo, Bukola Peters, Happy Buzaaba, Oyerinde Samuel, Amina Mardiyyah Rufai, Benjamin Ajibade, Tajudeen Gwadabe, Mory Moussou Koulibaly Traore, Tunde Oluwaseyi Ajayi, Shamsuddeen Hassan Muhammad, Ahmed Baruwa, Paul Owoicho, Tolúlopé Ògúnrèmí, Phylis Ngigi, Orevaoghene Ahia, Ruqayya Nasir, Foteini Liwicki, Marcus Liwicki:
AfriWOZ: Corpus for Exploiting Cross-Lingual Transfer for Dialogue Generation in Low-Resource, African Languages. 1-8 - Tao Xu, Ting Jiang, Xiaoning Li:
IC-CViT: Inverse-Consistent Convolutional Vision Transformer for Diffeomorphic Image Registration. 1-10 - Deng Luo, Qingyuan He, Meng Ma, Kun Yan, Defeng Liu, Ping Wang:
ECANodule: Accurate Pulmonary Nodule Detection and Segmentation with Efficient Channel Attention. 1-8 - Yunjie Su, Yilun Kong, Xueqian Wang:
Uncertainty-Aware Data Augmentation for Offline Reinforcement Learning. 1-8 - Ni Xiong, Yan Yang, Yongquan Jiang, Xiaocao Ouyang:
Diffusion Graph Neural Ordinary Differential Equation Network for Traffic Prediction. 1-8 - Akshit Garg, Vijay Vignesh Venkataramani, U. Deva Priyakumar:
Single-Lead to Multi-Lead Electrocardiogram Reconstruction Using a Modified Attention U-Net Framework. 1-8 - Haotian Chen, Ryo Natsuaki, Akira Hirose:
Symbol Detection for Polarization Shift Keying Based on Quaternion Neural Networks. 1-8 - Tsiry Mayet, Simon Bernard, Clément Chatelain, Romain Hérault:
Domain Translation via Latent Space Mapping. 1-10 - Zirui Zhang, Fanfang Meng, Xiaoxia Liu, Yuanhui Meng, Yiyu Yang, Benhui Chen:
An Improved Relation Extraction Method Based on Information Control Injection and Attention-Guided Densely Connected Graph Convolutional Network. 1-7 - Lei Yu, Fengjun Zhang, Jiajia Ma, Li Yang, Yuanzhe Yang, Wei Jia:
Who Are the Money Launderers? Money Laundering Detection on Blockchain via Mutual Learning-Based Graph Neural Network. 1-8 - Tianhe Lu, Gongshen Liu, Ru Zhang, Tianjie Ju:
Neural Linguistic Steganography with Controllable Security. 1-8 - Ziang Li, Zhenyu Cheng, Tianning Zang, Yijie Li:
MTCD-Model: A Two-Layer Model for Malicious Traffic Classification and Detection Based on Hierarchical Feature Learning. 1-8 - Haotian Chen, Ryo Natsuaki, Akira Hirose:
Reservoir Computing for Symbol Detection of Optical Wireless Scattering Communications. 1-6 - Ziming Wang, Changwu Huang, Xin Yao:
Feature Attribution Explanation to Detect Harmful Dataset Shift. 1-8 - Bo Wang, Jie Guo, Zheng Huang, Weidong Qiu:
A Multi-Modal Approach for the Detection of Account Anonymity on Social Media Platforms. 1-7 - Nikolas Koutsoubis, Kyle Naddeo, Garrett Williams, George D. Lecakes, Gregory Ditzler, Nidhal C. Bouaynaya, Thomas Kiel:
Boosting Aerial Object Detection Performance via Virtual Reality Data and Multi-Object Training. 1-8 - Shuo Fan, Liansheng Zhuang, Aodi Li:
Bayesian Sharpness-Aware Prompt Tuning for Cross-Domain Few-shot Learning. 1-7 - Jiahao Wang, Jing Yang:
A Three-Stage Pipeline for Conditional Entity and Relation Extraction. 1-8 - Kinal Mehta, Anuj Mahajan, Pawan Kumar:
Effects of Spectral Normalization in Multi-Agent Reinforcement Learning. 1-8 - Rong-Fei Gu, Rui Li, Wei-Long Zheng, Bao-Liang Lu:
Cross-Subject Decision Confidence Estimation from EEG Signals Using Spectral-Spatial-Temporal Adaptive GCN with Domain Adaptation. 1-8 - Zuotian Han, Yukun Yan, Qilong Han:
Fair_FM: An Improved Functional Mechanism to Provide Better Privacy Protection and Fairness Guarantee. 1-8 - Shayan Jawed, Kiran Madhusudhanan, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme:
Forecasting Early with Meta Learning. 1-8 - Tanguy Cazalets, Joni Dambre:
An homeostatic activity-dependent structural plasticity algorithm for richer input combination. 1-8 - Qingxia Jiang, Peipei Li, Yuhong Zhang, Xuegang Hu:
Global and Adaptive Local Label Correlation for Multi-label Learning with Missing Labels. 1-8 - Chenyang Ye, Hisashi Koga:
Deep Hashing Capable of Adding New Dataset without Class Labels. 1-9 - Julia Lust, Alexandru Paul Condurache:
GIT: Detecting Uncertainty, Out-Of-Distribution and Adversarial Samples using Gradients and Invariance Transformations. 1-10 - Humphrey Munn, Marcus Gallagher:
Towards Understanding the Link Between Modularity and Performance in Neural Networks for Reinforcement Learning. 1-7 - Xiaocui Lin, Jiangrong Shen, Jun Wen, Huajin Tang:
Bipolar Population Threshold Encoding for Audio Recognition with Deep Spiking Neural Networks. 1-8 - Jian Cheng Wong, Pao-Hsiung Chiu, Chinchun Ooi, My Ha Dao, Yew-Soon Ong:
LSA-PINN: Linear Boundary Connectivity Loss for Solving PDEs on Complex Geometry. 1-10 - Zhengliang Luo, Peifeng Li, Zhong Qian, Xiaoxu Zhu:
TEH-GCN: Topic-Event Based Hierarchical Graph Convolutional Networks for Rumor Detection. 1-8 - Min Peng, Xiaohu Shao, Yu Shi, Xiangdong Zhou:
Two-Stream Heterogeneous Graph Network with Dynamic Interactive Learning for Video Question Answering. 1-8 - Itay Mosafi, Eli David, Nathan S. Netanyahu:
Zero-Knowledge Attack for Replicating Protected Deep Neural Networks. 1-8 - Jing Zhou, Jian Zhou, Teng Xing Lin, Zixin Gong:
Object Detection of Occlusion Point Cloud based on Transformer. 1-7 - Lars Niedermeier, Jeffrey L. Krichmar:
Experience-Dependent Axonal Plasticity in Large-Scale Spiking Neural Network Simulations. 1-9 - Zhuang Liu, Song Qiu, Mingsong Chen, Dingding Han, Tiantian Qi, Qingli Li, Yue Lu:
CCH-YOLOX: Improved YOLOX for Challenging Vehicle Detection from UAV Images. 1-9 - Zilu Wang, Xin Yao:
A Brain-inspired Fully Hardware Hopfield Neural Network based on Memristive Arrays. 1-10 - Naresh Manwani, Mudit Agarwal:
Delaytron: Efficient Learning of Multiclass Classifiers with Delayed Bandit Feedbacks. 1-10 - Abhijith Sharma, Phil Munz, Apurva Narayan:
NSA: Naturalistic Support Artifact to Boost Network Confidence. 1-8 - Shuaimin Li, Jungang Xu:
A Novel Clinical Trial Prediction-Based Factual Inconsistency Detection Approach for Medical Text Summarization. 1-8 - Jiale Chen, Shuang Zhang, Zhiheng Li, Xin Jin:
Gravity-Shift-VIO: Adaptive Acceleration Shift and Multi-Modal Fusion with Transformer in Visual-Inertial Odometry. 1-8 - Muskaan Chopra, Prakash Chandra Chhipa, Gopal Mengi, Varun Gupta, Marcus Liwicki:
Domain Adaptable Self-supervised Representation Learning on Remote Sensing Satellite Imagery. 1-8 - Delong Yang, Jing Liu:
LpAdvGAN: Noise Optimization Based Adversarial Network Generation Adversarial Example. 1-8 - Peipei Liu, Hong Li, Zhiyu Wang, Yimo Ren, Jie Liu, Fei Lv, Hongsong Zhu, Limin Sun:
CEntRE: A paragraph-level Chinese dataset for Relation Extraction among Enterprises. 1-8 - Pindi Krishna Chandra Prasad, Kamalaker Dadi, Bapi Raju Surampudi:
Dynamic functional connectivity analysis in individuals with Autism Spectrum Disorder. 1-7 - Joshua B. Mallinson, Simon A. Brown:
Time-multiplexed Reservoir Computing with Percolating Networks of Nanoparticles. 1-7 - Liang Qiao, Pengfei Li, Ting Jin, Xi Li:
Finding Cycles in Graph: A Unified Approach for Various NER Tasks. 1-8 - Sugam Budhraja, Balkaran Singh, Maryam Gholami Doborjeh, Zohreh Gholami Doborjeh, Samuel Tan, Edmund M.-K. Lai, Wilson Wen Bin Goh, Nikola K. Kasabov:
Mosaic LSM: A Liquid State Machine Approach for Multimodal Longitudinal Data Analysis. 1-8 - Alexander Haluszczynski, Daniel Köglmayr, Christoph Räth:
Controlling dynamical systems to complex target states using machine learning: next-generation vs. classical reservoir computing. 1-7 - Xinlang Zhang, Zhongqing Wang, Peifeng Li:
Multimodal Chinese Event Extraction on Text and Audio. 1-8 - Haochen Mei, Gaolei Li, Jun Wu, Longfei Zheng:
Privacy Inference-Empowered Stealthy Backdoor Attack on Federated Learning under Non-IID Scenarios. 1-10 - Ruihong Luo, Minghui Gong, Chunping Li:
PT3: A Transformer-based Model for Sepsis Death Risk Prediction via Vital Signs Time Series. 1-9 - Qian Wang, Fanlin Meng, Toby P. Breckon:
On Fine-Tuned Deep Features for Unsupervised Domain Adaptation. 1-7 - Shiqi Shen, Zetao Jiang, Xiaochun Lei, Xu Wu, Yuting He:
Attention-Capsule Network for Low-Light Image Recognition. 1-7 - Yongchang Cao, Liang He, Zhen Wu, Xinyu Dai:
Make BERT-based Chinese Spelling Check Model Enhanced by Layerwise Attention and Gaussian Mixture Model. 1-9 - Weidong Tian, Quan Ren, Zhongqiu Zhao, Ruihua Tian:
Semantic Object Alignment and Region-Aware Learning for Change Captioning. 1-8 - Yi Li, Plamen Angelov, Neeraj Suri:
Domain Generalization and Feature Fusion for Cross-domain Imperceptible Adversarial Attack Detection. 1-8 - Richard Gerum, André Erpenbeck, Patrick Krauss, Achim Schilling:
Leaky-Integrate-and-Fire Neuron-Like Long-Short-Term-Memory Units as Model System in Computational Biology. 1-9 - Yekun Chai, Haidong Zhang, Qiyue Yin, Junge Zhang:
Neural Text Classification by Jointly Learning to Cluster and Align. 1-8 - Boyuan Zhang, Zheming Li, Landong Liu, Zhenwu Wang:
Landmark-based Partial Multi-label Learning with Noise Processing. 1-8 - Congying Xing, Lefei Zhang:
Multi-Scale Depth-Aware Unsupervised Domain Adaption in Semantic Segmentation. 1-8 - Qiaobin Wang, Haiyan Jin, Haonan Su, Zhaolin Xiao:
Event-Guided Attention Network for Low Light Image Enhancement. 1-8 - Thu Nguyen, Rabindra Khadka, Nhan Phan, Anis Yazidi, Pål Halvorsen, Michael A. Riegler:
Combining datasets to improve model fitting. 1-9 - Conrad Sanderson, David Douglas, Qinghua Lu:
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects. 1-7 - Xinrui Zhang, Xudong Luo, Jiaye Wu:
A RoBERTa-GlobalPointer-Based Method for Named Entity Recognition of Legal Documents. 1-8 - Gang Li, Chao Wu:
Transformer-Based Multi-Source Domain Adaptation Without Source Data. 1-8 - Ran Dou, José C. Príncipe:
Universal Recurrent Event Memories for Streaming Data. 1-10 - Dong Liu, Yu Hong, Chuyao Ding, Jianmin Yao, Guodong Zhou:
EBAMQ: Exposure Bias Alleviation via Moment Matching for Question Generation. 1-8 - Lidia Ghosh, Dipanjan Konar, Amit Konar, Atulya K. Nagar:
Stability and Limit Cycles of Fuzzy Inferences in a Recurrent Petri-like Neural Network. 1-8 - Usama Bin Sikandar, Hannah Choi, Joy Putney, Hengye Yang, Silvia Ferrari, Simon Sponberg:
Predicting visually-modulated precisely-timed spikes across a coordinated and comprehensive motor program. 1-8 - Yijin Yang, Xiaodong Gu:
Multi Feature Representation and Aggregation Network for Accurate and Robust Visual Tracking. 1-8 - Le Yu, Peiwang Tang, Zhiguo Jiang, Xianchao Zhang:
Denoise Enhanced Neural Network with Efficient Data Generation for Automatic Sleep Stage Classification of Class Imbalance. 1-8 - Eduardo V. L. Barboza, Paulo R. Lisboa de Almeida, Alceu de Souza Britto Jr., Rafael M. O. Cruz:
Distance Functions and Normalization Under Stream Scenarios. 1-8 - Hongbo Xu, Lichun Wang, Kai Xu, Fangyu Fu, Baocai Yin, Qingming Huang:
Augmented Spatial Context Fusion Network for Scene Graph Generation. 1-8 - Zekai Zhang, Mingle Zhou, Honglin Wan, Min Li, Gang Li:
DCP-Net: The Defect Detection Method of Industrial Product based on Dual Collaborative Paths. 1-8 - Dejiao Niu, Zhidong Wang, Tao Cai, Lei Li, Jie Jiang, Yuhan Chen, Zhuoran Li:
A New Spatial Pooler Algorithm Based on Heterogeneous Hash Group. 1-8 - Zikang Yu, Cheng Cheng, Wujun Wen, Wenxuan Guo, Lin Feng:
Action Reinforcement and Indication Module for Single-frame Temporal Action Localization. 1-8 - Xiaojian Ji, Li Dong, Rangding Wang, Diqun Yan, Yang Yin, Jinyu Tian:
Gradient Sign Inversion: Making an Adversarial Attack a Good Defense. 1-6 - Batnyam Enkhtaivan, Isamu Teranishi:
pGBF: Personalized Gradient Boosting Forest. 1-7 - Yuefei Lyu, Xiaoyu Yang, Jiaxin Liu, Sihong Xie, Philip S. Yu, Xi Zhang:
Interpretable and Effective Reinforcement Learning for Attacking against Graph-based Rumor Detection. 1-9 - Guangzheng Hu, Haoran Li, Shasha Liu, Yuanheng Zhu, Dongbin Zhao:
NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks. 1-8 - Xiao Wu, Yu Chen, Qiuyang Yan, Yuhang Zhao, Jilu Zhao, Xiaoqing Zhang, Risa Higashita, Jiang Liu:
DMINet: A lightweight dual-mixed channel-independent network for cataract recognition. 1-8 - Yuanhao Li, Badong Chen, Okito Yamashita, Natsue Yoshimura, Yasuharu Koike:
Adaptive sparseness for correntropy-based robust regression via automatic relevance determination. 1-8 - Xiaohuan Kuang, Kang Yuan, Bo Du, Jiancheng Yang:
Efficient Lung Nodule Detection via 3D Deep Learning with Shifted Convolutions. 1-8 - Dibyanayan Bandyopadhyay, Aizan Zafar, Asif Ekbal, Mohammed Hasanuzzaman:
End to End Sign Language Translation via Multitask Learning. 1-8 - Hui Bai, Derong Shen, Wenzhou Dou, Tiezheng Nie, Yue Kou:
Domain-Generic Pre-Training for Low-Cost Entity Matching via Domain Alignment and Domain Antagonism. 1-7 - Shijie Wen, Yiqiang Chen, Yuan Ma, Shuai Guo, Yang Gu, Xin Qin, Piu Chan:
Time Series Adaptation Network for Sensor-Based Cross Domain Human Activity Recognition. 1-8 - Xinzhi Wang, Mengyue Li, Yudong Chang, Xiangfeng Luo, Yige Yao, Zhichao Li:
Multimodal Cross-Attention Bayesian Network for Social News Emotion Recognition. 1-9 - Valentin Formont, Lars Olof Nord:
N-BEATS neural network structure for sub-critical boiler data-driven modelling. 1-8 - Huaijing Lai, Zhenhua Tang, Xiaoyan Zhang:
RepEPnP: Weakly Supervised 3D Human Pose Estimation with EPnP Algorithm. 1-8 - Bo Wang, A. Kai Qin, Sajjad Shafiei, Hussein Dia, Adriana Simona Mihaita, Hanna Grzybowska:
Training Physics- Informed Neural Networks via Multi-Task Optimization for Traffic Density Prediction. 1-7 - Jianping Yao, Son N. Tran:
Multi-output Deep-Supervised Classifier Chains for Plant Pathology. 1-8 - Lei Li, Mengnan He, Pengcheng Wu, Peng Liu, Ke Huang, Fan Pan, Peng Chen, Qijun Zhao:
Video-based Red Panda Individual Identification by Adaptively Aggregating Discriminative Features. 1-7 - Qinghua Zhou, Oliver J. Sutton, Yudong Zhang, Alexander N. Gorban, Valeri A. Makarov, Ivan Yu. Tyukin:
Neuromorphic tuning of feature spaces to overcome the challenge of low-sample high-dimensional data. 1-8 - Samra Kasim, John W. Sheppard:
Cross-Domain Similarity in Domain Adaptation for Human Activity Recognition. 1-8 - Ximing Qiao, Hai Li:
On a New Type of Neural Computation for Probabilistic Symbolic Reasoning. 1-9 - Jia Deng, Xiaofei Li, Xing Wang, Xiangzheng Li:
Deformable Feature Interaction Network and Graph Structure Reasoning for 3D Dense Alignment and Face Reconstruction. 1-8 - Yin Wang, Nan Xia, Xiangfeng Luo, Hang Yu:
Event Extraction Based on the Fusion of Dynamic Prompt Information and Multi-Dimensional Features. 1-9 - Shiya Luo, Defang Chen, Can Wang:
Knowledge Distillation with Deep Supervision. 1-8 - Qin Zhao, Gang Liu, Fuli Yang, Ru Yang, Zuliang Kou, Dong Wang:
Self-Supervised Signed Graph Attention Network for Social Recommendation. 1-9 - Sarwan Ali, Taslim Murad, Murray Patterson:
PCD2Vec: A Poisson Correction Distance Based Approach for Viral Host Classification. 1-8 - Shen Zheng, Jinqian Pan, Changjie Lu, Gaurav Gupta:
PointNorm: Dual Normalization is All You Need for Point Cloud Analysis. 1-8 - Yunfei Du, Yin Wang, Ya Cong, Weihao Jiang, Shiliang Pu:
Evolution Strategies Enhanced Complex Multiagent Coordination. 1-9 - Yichi Zhang, Mingyang Chen, Wen Zhang:
Modality-Aware Negative Sampling for Multi-modal Knowledge Graph Embedding. 1-8 - Yachao Guo, Zhibin Qiu, Hao Huang, Chng Eng Siong:
Improved Keyword Recognition Based on Aho-Corasick Automaton. 1-7 - Zitha Sasindran, Harsha Yelchuri, T. V. Prabhakar:
Ed-Fed: A generic federated learning framework with resource-aware client selection for edge devices. 1-8 - Thao N. N. Nguyen, Bharadwaj Veeravalli, Xuanyao Fong:
A Semi-Supervised Learning Method for Spiking Neural Networks Based on Pseudo-Labeling. 1-7 - Hao Bu, Meng Sun:
Measuring Robustness of Deep Neural Networks from the Lens of Statistical Model Checking. 1-8 - Luís Fabrício de F. Souza, Joel R. Michaliszen Junior, Adriell Gomes Marques, Yasmin Osório Adelino Rodrigues, Guilherme Freire Brilhante Severiano, José Jerovane da Costa Nascimento, Pedro Pedrosa Rebouças Filho:
Divisible Cell-Segmentation: A New Approach for Stroke Detection and Segmentation in CT Scans Using Deep Learning and Fine-tuning. 1-9 - Weidong Liu, Rui Li, Wei Tang:
Graph Convolutional Networks Based Standard Essential Patents Identification. 1-7 - Roberto Corizzo, Sebastian Leal-Arenas:
A Deep Fusion Model for Human $vs$. Machine-Generated Essay Classification. 1-10 - Hongjie Zhao, Beibei Liu, Yongjian Hu, Jicheng Li, Chang-Tsun Li:
Hybrid Domain Meta-Learning Network for Face Forgery Detection and Localization in Deepfakes. 1-8 - Hirotsugu Goto, Tomokazu Urakawa, Keisuke Shioya, Osamu Araki:
Two Kinds of Adaptation Model for General Perceptual Dynamics in Binocular Rivalry. 1-8 - Zhe Zhang, Yuxi Hu, Huachen Gao, Ronggang Wang:
Bi-ClueMVSNet: Learning Bidirectional Occlusion Clues for Multi-View Stereo. 1-8 - Dayananda Herurkar, Timur Sattarov, Jörn Hees, Sebastian Palacio, Federico Raue, Andreas Dengel:
Cross-Domain Transformation for Outlier Detection on Tabular Datasets. 1-8 - Harrison Cusack, Alina Bialkowski:
The Effect of Training Data Quantity on Monte Carlo Dropout Uncertainty Quantification in Deep Learning. 1-8 - Jin Li, Kleanthis Malialis, Marios M. Polycarpou:
Autoencoder-based Anomaly Detection in Streaming Data with Incremental Learning and Concept Drift Adaptation. 1-8 - Hao Wu, Jinwei Wang, Jiawei Zhang, Yufeng Wu, Bin Ma, Xiangyang Luo:
Improving the Transferability of Adversarial Attacks through Experienced Precise Nesterov Momentum. 1-8 - Ruobin Gao, Sibo Yang, Meng Yuan, Xuefei Song, Ponnuthurai Nagaratnam Suganthan, Wei Tech Ang:
Online ensemble deep random vector functional link for the assistive robots. 1-8 - Rizal Fathony, Jenn Ng, Jia Chen:
Interaction-Focused Anomaly Detection on Bipartite Node-and-Edge-Attributed Graphs. 1-10 - Zepu Xi, Hongbo Chen, Xiaoqian Chen, Wen Yao:
Conformal Prediction Enhanced SVMs for Swarm Behavior Classification. 1-8 - Martim Pinto Da Silva, Diogo Carneiro, João Fernandes, Luís Filipe Teixeira:
MobileWeatherNet for LiDAR-Only Weather Estimation. 1-8 - Pranav Machingal, Mohammed Thousif, Shirin Dora, Suresh Sundaram, Qinggang Meng:
Learning to Classify Faster Using Spiking Neural Networks. 1-8 - Bo Xu, Shouang Wei, Luyi Cheng, Shizhou Huang, Hui Song, Ming Du, Hongya Wang:
HSimCSE: Improving Contrastive Learning of Unsupervised Sentence Representation with Adversarial Hard Positives and Dual Hard Negatives. 1-8 - Fanchao Xu, Tomoyuki Kaneko:
Curiosity-driven Exploration for Cooperative Multi-Agent Reinforcement Learning. 1-8 - Kexin Jiang, Yahui Zhao, Guozhe Jin, Zhenguo Zhang, Rongyi Cui:
KETM:A Knowledge-Enhanced Text Matching method. 1-8 - Xianwei Xiao, Baojiang Zhong:
Multi-Scale Non-Local Sparse Attention for Single Image Super-Resolution. 1-8 - Dan Luo, Jiawei Sheng, Hongbo Xu, Lihong Wang, Bin Wang:
Improving Complex Knowledge Base Question Answering with Relation-Aware Subgraph Retrieval and Reasoning Network. 1-8 - Ye Xiao, Ruikun Li, Andrey Vasnev, Junbin Gao:
Enhanced Loss Function based on Laplacian Eigenmaps for Graph Classification. 1-8 - Xinyan Yin, Tao Sun, Chunyan Yang, Zihao Zhang, Xiang Zhang, Mengli Su:
Research on fake news detection method based on multi-level semantic enhancement. 1-8 - Kanta Yoshioka, Yuichi Katori, Yuichiro Tanaka, Osamu Nomura, Takashi Morie, Hakaru Tamukoh:
FPGA Implementation of a Chaotic Boltzmann Machine Annealer. 1-8 - Jun Feng, Shuai Wang, Wenbiao Yin, Lin Shang:
Improving Chinese Spelling Correction by Ranking. 1-6 - Caidong Tan, Xiao Sun:
CoLRP: A Contrastive Learning Abstractive Text Summarization Method with ROUGE Penalty. 1-7 - Ximeng Dou, Jing Zhao, Ming Li:
VDCL: A supervised text classification method based on virtual adversarial and contrast learning. 1-8 - Weihao Liu, Yaxin Fan, Xiaomin Chu, Peifeng Li, Qiaoming Zhu:
Discourse Parsing on Multi-Granularity Interaction. 1-8 - Angel Felipe Magnossão de Paula, Paolo Rosso, Damiano Spina:
Mitigating Negative Transfer with Task Awareness for Sexism, Hate Speech, and Toxic Language Detection. 1-8 - Debanjan Goswami, Shayok Chakraborty:
Active Learning for Video Classification with Frame Level Queries. 1-9 - Johan Chagnon, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli:
Going Deeper with Recursive Convolutional Layers. 1-8 - Anchun Gui, Jinqiang Ye, Han Xiao:
GamMa: Efficient Fine-Tuning of Pre-Trained Language Models Using Gradient Activation Mapping Masking. 1-8 - Jacob Piland, Christopher Sweet, Priscila Saboia, Charles Vardeman II, Adam Czajka:
Non-Generative Energy Based Models. 1-8 - Min Chen, Zhiqiang Pu, Yi Pan, Jianqiang Yi, Yixiong Cui, Lida Du:
All for Goals: a Stylized Automated Analysis Framework in Football Matches. 1-8 - Yuanyuan Gu, Xin Zhou:
Exploiting ResNeXt with Convolutional Shortcut for Signal Modulation Classification at Low SNRs. 1-8 - Soubarna Banik, Patricia Gschoßmann, Alejandro Mendoza García, Alois Knoll:
Occlusion Robust 3D Human Pose Estimation with StridedPoseGraphFormer and Data Augmentation. 1-8 - Wenjing Chang, Jianjun Yu, Xiaojun Zhou:
ConsE: Consistency Exploitation for Semi-Supervised Anomaly Detection in Graphs. 1-8 - Zhaoqian Zhu, Xiang Lin, Gongshen Liu, Bo Su, Tianhe Lu:
SCS-VAE: Generate Style Headlines Via Novel Disentanglement. 1-8 - Bin Li, Emmanuel Müller:
Contrastive Time Series Anomaly Detection by Temporal Transformations. 1-8 - Jaemin Seo, Rory Conlin, Andrew Rothstein, SangKyeun Kim, Joseph Abbate, Azarakhsh Jalalvand, Egemen Kolemen:
Multimodal Prediction of Tearing Instabilities in a Tokamak. 1-8 - Jaeyoon Kim, Junyu Xuan, Christy Jie Liang, Farookh Khadeer Hussain:
An Autonomous Non-monolithic Agent with Multi-mode Exploration based on Options Framework. 1-8 - Bitao Peng, Zhen Liu, Jinrong Zhang, Pengcheng Su:
CEVulDet: A Code Edge Representation Learnable Vulnerability Detector. 1-8 - Yuantian Xia, Shuhan Lu, Longhe Wang, Lin Li:
Learning Rich Detailed Features and Object Relations for Object Detection. 1-8 - Raghav Jain, Krishanu Maity, Prince Jha, Sriparna Saha:
Generative Models vs Discriminative Models: Which Performs Better in Detecting Cyberbullying in Memes? 1-8 - Andrea Zugarini, Leonardo Rigutini:
SAGE: Semantic-Aware Global Explanations for Named Entity Recognition. 1-8 - Zhengzhong Hu:
Feature Stylization Adversarial Domain Generalization. 1-8 - Nosseiba Ben Salem, Younès Bennani, Joseph Karkazan, Abir Barbara, Charles Dacheux, Thomas Gregory:
Self-Training and Modular Approaches for Surgical Image Recognition. 1-8 - Atiye Sadat Hashemi, Kobra Etminani, Amira Soliman, Omar Hamed, Jens Lundström:
Time-series Anonymization of Tabular Health Data using Generative Adversarial Network. 1-8 - Ziling Wu, Armaghan Moemeni, Simon Castle-Green, Praminda Caleb-Solly:
Robustness of Deep Learning Methods for Occluded Object Detection - A Study Introducing a Novel Occlusion Dataset. 1-10 - Bruno Siedekum Thuma, Pedro Silva de Vargas, Cristiano Mesquita Garcia, Alceu de Souza Britto Jr., Jean Paul Barddal:
Benchmarking Feature Extraction Techniques for Textual Data Stream Classification. 1-8 - Nan Wang, Liping Yi, Gang Wang, Xiaoguang Liu:
MemAU-Net: Memory-Enhanced Attention U-Net for Medical Image Forgery Localization. 1-7 - Duy Tung Nguyen, Hemant K. Singh, Saber M. Elsayed, Robert A. Hunjet, Hussein A. Abbass:
Multi-agent Knowledge Transfer in a Society of Interpretable Neural Network Minds for Dynamic Context Formation in Swarm Shepherding. 1-9 - Hsin-Chiao Wang, Yi-Ling Chen:
Long-Term Power Consumption Prediction with Two-Stage Clustering Framework. 1-9 - Kento Nakamura, Hiroyuki Torikai:
A Novel Ergodic Sequential Logic CPG: Efficient FPGA Implementation and Realizations of Various Gaits and their Safe Transitions. 1-8 - Anmol Biswas, Nivedya S. Nambiar, Kushal Kejriwal, Udayan Ganguly:
MAdapter: A Multimodal Adapter for Liquid State Machines configures the Input Layer for the same Reservoir to enable Vision and Speech Classification. 1-6 - Muhammad Abdullah Hanif, Muhammad Shafique:
FAQ: Mitigating the Impact of Faults in the Weight Memory of DNN Accelerators through Fault-Aware Quantization. 1-8 - Jun He, Yangcai Zhong, Bo Sun, Yinghui Zhang, Yun Liu:
Data Augmentation Ensemble Module based on Natural Guidance for X-ray Prohibited Items Detection. 1-8 - Ahmed Sharshar, Ahmed Abo Eitta, Ahmed Fayez, Mohamed Abdelaziz Khamis, Ahmed Bayoumy Zaki, Walid Gomaa:
Camera Coach: Activity Recognition and Assessment Using Thermal and RGB Videos. 1-8 - Rafia Rahim, Samuel Woerz, Andreas Zell:
LeanStereo: A Leaner Backbone based Stereo Network. 1-8 - Le Kang, Tai-Jiang Mu, Guoping Zhao:
Hierarchical Transformer-based Siamese Network for Related Trading Detection in Financial Market. 1-8 - Silong Liang, Chunxiao Li, Naying Cui, Minghui Sun, Hao Xue:
3DSEAVNet: 3D-Squeeze-and-Excitation Networks for Audio-Visual Saliency Prediction. 1-8 - Ke Song, Quan Xia, Zhaoyong Qiu:
Non-exemplar Class-incremental Learning via Dual Augmentation and Dual Distillation. 1-8 - Bangchao Wang, Zihan Wang, Hongyan Wan, Xingfu Li, Yang Deng:
An Empirical Study on Data Balancing in Machine Learning Based Software Traceability Methods. 1-8 - Ayan Shymyrbay, Mohammed E. Fouda, Ahmed M. Eltawil:
Low Precision Quantization-aware Training in Spiking Neural Networks with Differentiable Quantization Function. 1-8 - Ying Guo, Shan Jiang, JinHong Li:
CSARUNet: an attention mechanism-based model for image tampering localization with ringed residual block. 1-8 - XingWen Pan, Chengzhuan Bao, Dehua Chen:
MobileNet-Light: A Lightweight TCT Image Classification Model for Cervical Cancer. 1-7 - Tianci Yu, Jianxia Chen:
A Novel Sequential Recommendation Model Based on the Filter and Model Augmentation. 1-8 - Shen Liu, Xinshu Shen, Tingting Liu, Man Lan:
Document-level Relation Extraction with Entity Interaction and Commonsense Knowledge. 1-9 - Md. Mahadi Hasan, David Dew Mallick, Towhid Khan, Md. Mustakin Alam, Md. Humaion Kabir Mehedi, Annajiat Alim Rasel:
SweetCoat-2D: Two-Dimensional Bangla Spelling Correction and Suggestion Using Levenshtein Edit Distance and String Matching Algorithm. 1-8 - Yiming Xu:
Multihead Attention-based Audio Image Generation with Cross-Modal Shared Weight Classifier. 1-7 - Jiahe Zhao, Hui Li, Feiyang Liu:
Neural Network-based Traffic Matrix Prediction Incorporating Inter-Flow Correlations for Optical Network-on-Chip (ONoC). 1-8 - Kentaro Takeda, Hiroyuki Torikai:
A novel hardware-efficient liquid state machine of non-simultaneous CA-based neurons for spatio-temporal pattern recognition. 1-8 - Tim Whitaker, Darrell Whitley:
Synaptic Stripping: How Pruning Can Bring Dead Neurons Back to Life. 1-8 - Yueyang Su, Di Yao, Jingping Bi:
Few-shot learning for trajectory outlier detection with only normal trajectories. 1-8 - José Jerovane da Costa Nascimento, Adriell Gomes Marques, Matheus Araujo dos Santos, Lucas de O. Santos, Julio Macedo Chaves, Luís Fabrício de F. Souza, Pedro Pedrosa Rebouças Filho:
New Health of Things Approach to Classification and Detection of Brain Tumors Using Transfer Learning for Segmentation in IMR Images. 1-8 - Richa Upadhyay, Prakash Chandra Chhipa, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki:
Multi-Task Meta Learning: learn how to adapt to unseen tasks. 1-10 - Rongfeng Pan, Jianzong Wang, Lingwei Kong, Zhangcheng Huang, Jing Xiao:
Personalized Federated Learning via Gradient Modulation for Heterogeneous Text Summarization. 1-7 - Qiongan Zhang, Lei Shi, Peiyu Liu, Liancheng Xu:
Discriminating Information of Modality Contributions Network by Gating Mechanism and Multi-Task Learning. 1-7 - Dinesh Valluri, Rory Campbell:
On the Space of Coefficients of a Feedforward Neural Network. 1-7 - Xiaofeng Wang, Qingzhe Cui, Lixiang Xu, Haifeng Liu, Lixin He, Bin Luo, Sibao Chen, Yuanyan Tang:
GENet: Guidance Enhancement Network for 3D Shape Recognition. 1-8 - Simon Klüttermann, Emmanuel Müller:
Evaluating and Comparing Heterogeneous Ensemble Methods for Unsupervised Anomaly Detection. 1-8 - Guohang Zeng, Zhen Fang, Guangquan Zhang, Jie Lu:
One-step Domain Adaptation Approach with Partial Label. 1-8 - Dezhen Qi, Jun Xie, Guoyu Yang, Dongdong Liu, Ye Qiu, Yuer Lu, Xiaoming Jiang, Jianwei Shuai:
CaT: Cyclic-Accumulation Transformer for Lane Detection. 1-8 - Ting Lu, Yichun Hu, Guohua Liu, Qiubo Huang, Wenjing Guo, Shan Chang:
AutoDes: Few-Shot Named Entity Recognition with Class Descriptions. 1-7 - Sampreeth Jangala, Rakesh Kumar Sanodiya:
A Novel Framework for Multi-Source Domain Adaptation with Discriminative Feature Learning. 1-7 - Ting Chen, Jianming Wang, Yukuan Sun:
Meta-MSGAT: Meta Multi-scale Fused Graph Attention Network. 1-8 - Jinhua Chen, Jin Fan, Zhen Liu, Jiaqian Xiang, Jia Wu:
Segformer: Segment-Based Transformer with Decomposition for Long-Term Series Forecasting. 1-8 - Ning Li, Shiqi Jiang, Yaxuan Zheng, Wenli Xiong, Shaohua Li, Yanpeng Hu, Changbo Wang, Chenhui Li:
Estimating Market Value of Companies Based on Finance Statement through Data Fusion. 1-7 - Yanling Li, Bowei Zou, Yifan Fan, Mengxing Dong, Yu Hong:
Coreference-aware Double-channel Attention Network for Multi-party Dialogue Reading Comprehension. 1-8 - Xing Han, Jing Hu, Joydeep Ghosh:
A Novel Control-Variates Approach for Performative Gradient-Based Learners with Missing Data. 1-8 - Koki Ozasa, Yuichiro Toda, Takayuki Matsuno:
Growing Neural Gas based Traversability Clustering for an Autonomous Robot. 1-6 - Hiroaki Kingetsu, Kenichi Kobayashi, Taiji Suzuki:
Neural Network Module Decomposition and Recomposition with Superimposed Masks. 1-10 - Xavier Tan, Wei Yang Bryan Lim, Dusit Niyato, Han Yu:
Reputation-Aware Opportunistic Budget Optimization for Auction-based Federation Learning. 1-8 - Heng Zhao, Xinran Li, Jiakai Xu, Xianghua Fu, Jiehao Chen:
Financial Time Series Data Prediction by Combination Model Adaboost-KNN-LSTM. 1-8 - Shaoqi Sun, Kele Xu:
Temporal Inconsistency-Based Intrinsic Reward for Multi-Agent Reinforcement Learning. 1-7 - Yi Li, Yuxuan Gao, Jianyi Cai, Guoxiang Zheng, Hanlin Shi, Xiping Liu:
Repr2Seq: A Data-to-Text Generation Model for Time Series. 1-8 - Qingxu Fu, Tenghai Qiu, Zhiqiang Pu, Jianqiang Yi, Xiaolin Ai, Wanmai Yuan:
Learning Superior Cooperative Policy in Adversarial Multi-Team Reinforcement Learning. 1-7 - Daniel Nowak Assis, Fabrício Enembreck, Jean Paul Barddal:
Mass-Based Short Term Selection of Classifiers in Data Streams. 1-8 - Renye Yan, Zhe Wu, Yuan Zhan, Pin Tao, Zongwei Wang, Yimao Cai, Junliang Xing:
Mnemonic Dictionary Learning for Intrinsic Motivation in Reinforcement Learning. 1-7 - Jen-Tzung Chien, Weiwei Lai:
Variational Skill Embeddings for Meta Reinforcement Learning. 1-8 - Douglas Castilho, Moisés R. Santos, Renato Tinós, André C. P. L. F. de Carvalho, Marcos B. S. Paula, Lucas Ladeira, Ewerton Guarnier, Donato da Silva-Filho, Danilo Y. Suiama, Antonio Carlos De Oliveira Júnior, Lucas Penido Alípio:
Feature Selection using Complex Networks to Support Price Trend Forecast in Energy Markets. 1-9 - Yinsen Wang, Xin Zhang, Yan Pan, Zexin Fu:
A Temporal Attention-based Model for Social Event Prediction. 1-8 - Mengbo Sun, Yonghong Song, Hongda Wang:
Efficient Temporal Action Localization with Temporal Attention and Gaussian Weight. 1-6 - Ferheen Ayaz, Idris Zakariyya, José Cano, Sye Loong Keoh, Jeremy Singer, Danilo Pau, Mounia Kharbouche-Harrari:
Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks. 1-8 - Xingjie Huang, Jianming Lv:
Resilient Remote Heart Rate Measurement from Partially Masked Faces. 1-8 - Yu Zhang, Yonghui Xu, Lizhen Cui, Zhongmin Yan:
Multi-View Graph Contrastive Learning for Urban Region Representation. 1-8 - Ninnart Fuengfusin, Hakaru Tamukoh, Yuichiro Tanaka, Osamu Nomura, Takashi Morie:
Efficient Repetition Coding for Deep Learning Towards Implementation Using Emerging Non-Volatile Memory with Write-Errors. 1-6 - Prajwal Thakur, M. Nomaan Qureshi, Arun Kumar Singh, Y. V. S. Harish, Pushkal Katara, Houman Masnavi, K. Madhava Krishna, Brojeshwar Bhowmick:
Learning Arc-Length Value Function for Fast Time-Optimal Pick and Place Sequence Planning and Execution. 1-10 - Sanbi Luo:
Insty-GAN for Image-to-Image Location Transfer. 1-7 - Qingting Xu, Yu Hong, Fubang Zhao, Kaisong Song, Jiaxiang Chen, Yangyang Kang, Guodong Zhou:
GCN-based End-to-End Model for Comparative Opinion Quintuple Extraction. 1-6 - Gonçalo Ferreira, Marco Teixeira, Raquel Belo, Wilson Silva, Jaime S. Cardoso:
Deep Learning Strategies For Rare Drug Mechanism of Action Prediction. 1-7 - Sonal Dabral, Brijraj Singh, Naoyuki Onoe:
Cd-HRNN: Content-Driven HRNN to Improve Session-Based Recommendation System. 1-8 - Wei Li, Hui Li, Jingguo Ge, Lei Zhang, Liangxiong Li, Bingzhen Wu:
CDANER: Contrastive Learning with Cross-domain Attention for Few-shot Named Entity Recognition. 1-8 - Robin Chan, Sarina Penquitt, Hanno Gottschalk:
LU-Net: Invertible Neural Networks Based on Matrix Factorization. 1-10 - Jiangnan Du, Xuan Fu, Jianfeng Li, Cuiqin Hou, Qiyu Zhou, Hai-Tao Zheng:
A Simple Semantics and Topic-aware Method to Enhance Abstractive Summarization. 1-7 - Ze Xu, Hao Zhou, Ting He, Huazhen Wang:
EARP: Integration with Entity Attribute and Relation Path for Event Knowledge Graph Representation Learning. 1-7 - Xueyuan Chen, Xiao Wei, Hang Yu, Xiangfeng Luo:
ReGRL: An Informative Graph Representation via Hierarchical Recursive Learning for Legal Case Recommendation. 1-7 - Md. Rasel Sarkar, Sreenatha G. Anavatti, Tanmoy Dam, Mahardhika Pratama, Berlian Al Kindhi:
Enhancing Wind Power Forecast Precision via Multi-head Attention Transformer: An Investigation on Single-step and Multi-step Forecasting. 1-8 - Xingwang Xiao, Yuanyuan Pu, Zhengpeng Zhao, Jinjing Gu, Dan Xu:
BIT: Improving Image-text Sentiment Analysis via Learning Bidirectional Image-text Interaction. 1-9 - Jiatao Li, Xuelong Sun, Haiyang Li, Jigen Peng, Qinbing Fu:
On the Ensemble of Collision Perception Neuron Models Towards Ultra-Selectivity. 1-8 - Kexue Ma, Guitao Cao, Mengqian Xu, Chunwei Wu, Hong Wang, Wenming Cao:
Class-Balanced Universal Perturbations for Adversarial Training. 1-8 - Yang Xiao, Qi Xu, Bo Yuan:
Tolerating Device-to-Device Variation for Memristive Crossbar-Based Neuromorphic Computing Systems: A New Bayesian Perspective. 1-7 - Christoph Linse, Erhardt Barth, Thomas Martinetz:
Convolutional Neural Networks Do Work with Pre-Defined Filters. 1-8 - Jiongmin Zhang, Ao Liu, Xing Yang, Ying Qian:
Sequential Recommendation with Latent Relation Information. 1-8 - Abhishek Kadam, Anmol Biswas, Vivek Saraswat, Ajay Kumar Singh, Laxmeesha Somappa, Maryam Shojaei Baghini, Udayan Ganguly:
Real-world Performance Estimation of Liquid State Machines for Spoken Digit Classification. 1-7 - Carlo Mazzola, Marta Romeo, Francesco Rea, Alessandra Sciutti, Angelo Cangelosi:
To Whom are You Talking? A Deep Learning Model to Endow Social Robots with Addressee Estimation Skills. 1-10 - Shenxiang Xiang, Qiaohong Chen, Xian Fang, Menghao Guo:
Improving Visual Question Answering by Multimodal Gate Fusion Network. 1-8 - Jun Liu, Yang Gu, Zhaohua Yang, Shuai Guo, Huaqiu Liu, Yiqiang Chen:
Pre-training A Prompt Pool for Vision-Language Model. 1-7 - Yi Xiang, Haoran Sun, Wenting Tu:
HDResNet: Hierarchical-Decomposition Residual Network for Hierarchical Time Series Forecasting. 1-8 - Eduardo Mosqueira-Rey, Alberto Pérez-Sánchez, Elena Hernández-Pereira, David Alonso-Ríos, José Bobes-Bascarán, Ángel Fernández-Leal, Vicente Moret-Bonillo, Yolanda Vidal-Ínsua, Francisca Vázquez-Rivera:
Human-in-the-Loop Machine Learning for the Treatment of Pancreatic Cancer. 1-9 - Zafar Iqbal, Usman Mahmood, Zening Fu, Sergey M. Plis:
Self-Supervised Mental Disorder Classifiers via Time Reversal. 1-7 - Vivek B. S., Gaurab Bhattacharya, Jayavardhana Gubbi, Bagya Lakshmi V, Arpan Pal, P. Balamuralidhar:
Personalized Outfit Compatibility Prediction Using Outfit Graph Network. 1-8 - Yuquan Lan, Dongxu Li, Yunqi Zhang, Hui Zhao, Gang Zhao:
Modeling Zero-Shot Relation Classification as a Multiple-Choice Problem. 1-8 - Junyu Zhu, Xu Liao, Changshi Li, Yuling Jiao, Jin Liu, Xiliang Lu:
Invariant and Sufficient Supervised Representation Learning. 1-8 - Zhengyang Yu, Jing Zhang, Nick Barnes:
A Multimodal Hierarchical Variational Autoencoder for Saliency Detection. 1-9 - Nannan Li, Yaran Chen, Dongbin Zhao:
Dense Attention: A Densely Connected Attention Mechanism for Vision Transformer. 1-8 - Mingrui Che, Liu Yang, Yuxin Zhang:
RCN:Rules-Constrained Network for Autonomous Driving Scene Recognition. 1-9 - Hazar Zilelioglu, Ghazaleh Khodabandelou, Abdelghani Chibani, Yacine Amirat:
Conditional Human Activity Signal Generation and Generative Classification with a GPT-2 Model. 1-8 - Constanze Schwan, Wolfram Schenck:
Object View Prediction with Aleatoric Uncertainty for Robotic Grasping. 1-8 - Boran Yang, Md. Zakir Hossain, Jessica Sharmin Rahman:
SS-Faster-RCNN: A Domain Adaptation-based Method to Detect Whether People Wear Masks Correctly. 1-8 - Hongxu Huang, Mohasha Isuru Sampath Lahanda Purage, Rui Liang:
Network Reconfiguration aware Peer-to-Peer Ancillary Energy Trading Under Uncertainties. 1-9 - Marcelo Isaias de Moraes, Ricardo Marcondes Marcacini:
On the Use of Aggregation Functions for Semi-Supervised Network Embedding. 1-8 - Menglin Kong, Ri Su, Shaojie Zhao, Muzhou Hou:
DEPHN: Different Expression Parallel Heterogeneous Network using virtual gradient optimization for Multi-task Learning. 1-8 - Shuhe Liu, Xiaolin Xu, Zhefeng Nan:
Automated Behavior Identification of Home Security Camera Traffic. 1-8 - Jianpeng Liao, Jun Yan, Qian Tao:
DualHGNN: A Dual Hypergraph Neural Network for Semi-Supervised Node Classification based on Multi-View Learning and Density Awareness. 1-10 - Junjun Yan, Xinhai Chen, Zhichao Wang, Enqiang Zhou, Jie Liu:
ST-PINN: A Self-Training Physics-Informed Neural Network for Partial Differential Equations. 1-8 - Xiaofeng Zhang, Zeyu Huang, Jun Bai, Wenge Rong, Yuanxin Ouyang, Zhang Xiong:
Subgraph-Oriented Heterogeneous Drug-Target Interaction Identification. 1-8 - André Ramos Fernandes Da Silva, Lucas Marcondes Pavelski, Luiz Alberto Queiroz Cordovil Júnior:
Hidden Design Principles in Zero-Cost Performance Predictors for Neural Architecture Search. 1-10 - Hongliu Cao, Ilias El Baamrani, Eoin Thomas:
Multi-View User Representation Learning for User Matching Without Personal Information. 1-8 - Chen Yang, Guangkai Yang, Hao Chen, Junge Zhang:
Explicitly Learning Policy Under Partial Observability in Multiagent Reinforcement Learning. 1-8 - Jack Humphreys, Markus Hagenbuchner, Zhiyong Wang, Ah Chung Tsoi:
Embedding the Self-Organisation of Deep Feature Maps in the Hamburger Framework can Yield Better and Interpretable Results. 1-8 - Fei Li, Sijie Zhang, Heng Li, Yaoxin Xia, Lisen Yan, Zhiwu Huang:
Exploring the Hysteresis Effect of Li-ion Batteries: A Machine Learning based Approach. 1-8 - Wenxuan Guo, Shuo Du, Huiyuan Deng, Zikang Yu, Lin Feng:
Towards Spatio-temporal Collaborative Learning: An End-to-End Deepfake Video Detection Framework. 1-8 - Yicheng Sun, Jie Wang:
Constructing Cloze Questions Generatively. 1-8 - Zihong Zhu, Weiyu Zhang, Xinchao Guo, Xinxiao Qiao:
Lorentzian Graph Convolution Networks for Collaborative Filtering. 1-8 - Weiqi Zhang, Hechuan Shen, Tianyi Lei, Qian Wang, Dezhong Peng, Xu Wang:
GLQA: A Generation-based Method for Legal Question Answering. 1-8 - Mikhail V. Kiselev, Alexander Ivanitsky, Andrey Lavrentyev:
A Spiking Neural Network Learning Markov Chain. 1-8 - Yicai Yang, Xiaofen Xing, Ming Chen, Kailing Guo, Xiangmin Xu, Fang Liu:
Cross Range Quantization for Network Compression. 1-9 - Yunqi Zhang, Songda Li, Yuquan Lan, Hui Zhao, Gang Zhao:
Dual-Encoder Attention Fusion Model for Aspect Sentiment Triplet Extraction. 1-8 - Dai Shi, Andi Han, Yi Guo, Junbin Gao:
Fixed Point Laplacian Mapping: A Geometrically Correct Manifold Learning Algorithm. 1-9 - Majdi Khalid:
Online Semi-supervised Pairwise Learning. 1-6 - Xiangyu Dai, Quan Zou:
SATNet: Upgraded LSTM Network For Mining Time Series Correlation Utilizing The Self-Attention Mechanism. 1-8 - Fangfang Zhou, Zhengming Fu, Dan Zhang:
High Dynamic Range Imaging with Context-aware Transformer. 1-8 - Alexander C. McDonnell, Martin A. Trefzer:
The Effect of System Timescale on Virtual Node Connectivity within Delay-Feedback Reservoirs. 1-8 - Yujie Gu, Huiyan Sun, Yansong Wang, Haobo Shi:
Improve Robustness of Graph Neural Networks: Multi-hop Neighbors Meet Homophily-based Truncation Defense. 1-8 - Yong Jiang, Ziye Zhu, Yun Li:
Decomposing Source Codes by Program Slicing for Bug Localization. 1-8 - Jingyi Zhang, Yuting Wei, Yangfu Zhu, Bin Wu:
Self-adaptive Prompt-tuning for Event Extraction in Ancient Chinese Literature. 1-8 - Marek Pawlicki, Rafal Kozik, Michal Choras:
Improving Siamese Neural Networks with Border Extraction Sampling for the use in Real-Time Network Intrusion Detection. 1-8 - Tianyang Li, Hanwen Xu, Yingnan Han, Yi Zhao, Hongbin Yan:
L-Yolov5: A multi-scale channel attention-based method for real-time safety helmet detection of electrical construction workers. 1-8 - Yumin Zhang, Yajun Gao, Hongliu Li, Ating Yin, Duzhen Zhang, Xiuyi Chen:
Crucial Semantic Classifier-based Adversarial Learning for Unsupervised Domain Adaptation. 1-8 - Eaven Huang, Runan Wang, Yifan Wang, Tuo Leng:
Compact Cross-Reparam Convolution Network for Efficient Image Super-resolution. 1-9 - Tahsin Tariq Banna, Swakshar Deb, Sejuti Rahman, Shafin Rahman:
GEMM: A Graph Embedded Model for Memorability Prediction. 1-8 - Yi Wang, Shanliang Pan:
AdaptiveTune: Adaptive Value With Bernoulli Noise Can Help Us Finetune Better. 1-8 - Bruna Zamith Santos, Balbina Maria Araujo Soriano, Marcelo Gonçalves Narciso, Diego Furtado Silva, Ricardo Cerri:
A New Time Series Framework for Forest Fire Risk Forecasting and Classification. 1-8 - Rafia Rahim, Samuel Woerz, Andreas Zell:
Distilling Stereo Networks for Performant and Efficient Leaner Networks. 1-8 - Yu Zhang, Pengyu Gao, Zhe Wu, Yusheng Jiang, Junliang Xing, Pin Tao:
TLMIX: Twin Leader Mixing Network for Cooperative Multi-Agent Reinforcement Learning. 1-8 - Sharana Dharshikgan Suresh Dass, Ganesh Krishnasamy, Raveendran Paramesran, Raphaël C.-W. Phan:
Schatten p-norm based Image-to-Video Adaptation for Video Action Recognition. 1-8 - Ying Huang, Zhi Wang, Qiang Chen, Wu Chen:
Robust Principal Component Analysis via Truncated $L_{1-2}$ Minimization. 1-9 - Nasik Muhammad Nafi, Giovanni Poggi-Corradini, William H. Hsu:
Policy Optimization with Augmented Value Targets for Generalization in Reinforcement Learning. 1-8 - Zheng Yang, Bing Han, Weiming Chen, Xin Gao:
Learn to Encode Heterogeneous Data: A Heterogeneous Aware Network for Multi-Future Trajectory Prediction. 1-8 - Debanjan Konar, Vaneet Aggarwal, Aditya Das Sarma, Soham Bhandary, Siddhratha Bhattacharyya, Attila Cangi:
Deep Spiking Quantum Neural Network for Noisy Image Classification. 1-10 - Munazza Zaib, Quan Z. Sheng, Wei Emma Zhang, Adnan Mahmood:
Keeping the Questions Conversational: Using Structured Representations to Resolve Dependency in Conversational Question Answering. 1-7 - Xiaoyu Zhao, Zhiqiang Gong, Xiaoqian Chen, Wen Yao, Yunyang Zhang:
A Unified Framework of Deep Neural Networks and Gappy Proper Orthogonal Decomposition for Global Field Reconstruction. 1-8 - Liting Jiang, Di Wu, Yanbing Li, Wushouer Silamu:
Emp-USIR: A Unidirectional Synchronous Interactive Reasoning Model for Empathetic Dialogue. 1-9 - Fatma Youssef, Ahmed El-Mahdy, Tetsuji Ogawa, Walid Gomaa:
Thermal Gait Dataset for Deep Learning-Oriented Gait Recognition. 1-8 - Xuesen Ma, Weixin Wei, Jindian Dong, Biao Zheng, Ji Ma:
RTOD-YOLO: Traffic Object Detection in UAV Images Based on Visual Attention and Re-parameterization. 1-8 - Ting Hu, Christoph Meinel, Haojin Yang:
Flexible BERT with Width- and Depth-dynamic Inference. 1-8 - An Cao, Yilin Zhou, Gang Shen:
LisaCLIP: Locally Incremental Semantics Adaptation towards Zero-shot Text-driven Image Synthesis. 1-10 - Yuchen Zhang, Yifan Wang, Hao Fan, Jing Li, Jia Wu:
Worldwide COVID-19 Topic Knowledge Graph Analysis From Social Media. 1-10 - Jinhao Cui, Heyan Chai, Yanbin Gong, Ye Ding, Zhongyun Hua, Cuiyun Gao, Qing Liao:
MocGCL: Molecular Graph Contrastive Learning via Negative Selection. 1-8 - Bojian Wei, Jian Li, Weiping Wang:
Towards Sharper Risk Bounds for Agnostic Multi-objective Learning. 1-6 - Alberto Marchisio, Davide Dura, Maurizio Capra, Maurizio Martina, Guido Masera, Muhammad Shafique:
SwiftTron: An Efficient Hardware Accelerator for Quantized Transformers. 1-9 - Haonan Wang, Pengbo Yang, Jitao Sang:
Improving The Local Stability of Deep Model With Margin Losses. 1-9 - Mingjie Wang, Feng Chen, Jianxiong Guo, Weijia Jia:
Improving Stock Trend Prediction with Multi-granularity Denoising Contrastive Learning. 1-10 - Amanda M. Horzyk:
How AI Affects Our Understanding of Musical Works That Should Be Protected by Copyright. 1-8 - Abdolghani Ebrahimi, Diego Klabjan:
Neuron-based Pruning of Deep Neural Networks with Better Generalization using Kronecker Factored Curvature Approximation. 1-9 - Yanting Zhang, Fuyu Tu, Zijian Wang, Wenjing Guo, Dandan Zhu:
Learning Golf Swing Key Events from Gaussian Soft Labels Using Multi-Scale Temporal MLPFormer. 1-8 - Jingbo Yang, Wenjun Wu, Jian Ren:
The Application of Generating API Call Sequence Code for Android Driven by Neural Network. 1-8 - Akib Mohammed Khan, Alif Ashrafee, Fahim Shahriar Khan, Md. Bakhtiar Hasan, Md. Hasanul Kabir:
AttResDU-Net: Medical Image Segmentation Using Attention-based Residual Double U-Net. 1-8 - Kai Ouyang, Xianghong Xu, Zuotong Xie, Hai-Tao Zheng, Yanxiong Lu:
Modeling Global-Local Subtopic Distribution with Hypergraph to Diversify Search Results. 1-8 - Lorenzo Giusti, Claudio Battiloro, Lucia Testa, Paolo Di Lorenzo, Stefania Sardellitti, Sergio Barbarossa:
Cell Attention Networks. 1-8 - Beomseok Kang, Saibal Mukhopadhyay:
Forecasting Evolution of Clusters in Game Agents with Hebbian Learning. 1-8 - Feiyang Ye, Jianghan Bao, Yu Zhang:
Partially-Labeled Domain Generalization via Multi-Dimensional Domain Adaptation. 1-8 - Bei Li, Wenkang Fan, Mingxian Yang, Zhiyuan Liu, Song Zheng, Jianhui Chen, Yinran Chen, Xiongbiao Luo:
DUP-Net: Double U-PoolFormer Networks for Renal Artery Segmentation in CT Urography. 1-8 - Honggang Zhao, Mingyue Liu, Yinghua Lin, Mingyong Li:
Attention map feature fusion network for Zero-Shot Sketch-based Image Retrieval. 1-8 - Aldísio Gonçalves Medeiros, Francisco H. S. Silva, Lucas de O. Santos, Pedro Pedrosa Rebouças Filho:
Bi-Dimensional Approach Based on Graph Neural Network for Alcoholism Predisposition Detection via EEG signals. 1-8 - Yuanqiang Yu, Tianpei Yang, Yongliang Lv, Yan Zheng, Jianye Hao:
T3S: Improving Multi-Task Reinforcement Learning with Task-Specific Feature Selector and Scheduler. 1-8 - Yifeng Wang, Yamei Xia, Tianbo Lu, Xiaoyan Zhang, Wenbin Yao:
An Efficient Method based on Multi-view Semantic Alignment for Cross-view Geo-localization. 1-8 - Jingying Gao, Alan Blair, Maurice Pagnucco:
A Symbolic-Neural Reasoning Model for Visual Question Answering. 1-9 - David Battel, Alice C. Parker:
SONA: A Bio-Inspired, Self-Organizing Connective Fabric for Neuromorphic Circuits and FPGAs. 1-9 - Chao Li, Fengge Wu, Junsuo Zhao:
Offline Reinforcement Learning with Uncertainty Critic Regularization Based on Density Estimation. 1-8 - Evair Cunha, David L. Macêdo, Cleber Zanchettin:
Improving small object detection with DETRAug. 1-8 - Rahul Singh Maharjan, Marta Romeo, Angelo Cangelosi:
Faces are Domains: Domain Incremental Learning for Expression Recognition. 1-8 - Amélie Gruel, Jean Martinet, Michele Magno:
Simultaneous neuromorphic selection of multiple salient objects for event vision. 1-8 - Yang Liu, Mengyu Yang, Ye Tian, Lanshan Zhang, Xirong Que, Wendong Wang:
Cost-effective Modality Selection for Video Popularity Prediction. 1-8 - Jing Xu, Ruifang He, Haodong Zhao:
Interactive Capsule Networks with a Novel Dynamic Routing Mechanism for Implicit Discourse Relation Recognition. 1-7 - Xiaotong Qian, Lili Jin, Guénaël Cabanes, Parisa Rastin, Nistor Grozavu:
Multi-view Clustering using Barycentric Coordinate Representation. 1-8 - Liming Ge, Wei Bao, Xinyi Sheng, Dong Yuan, Bing Bing Zhou:
Real-time Night Surveillance Video Retrieval through Calibrated Denoising and Super-resolution. 1-10 - Jen-Tzung Chien, Hsiu-Wei Tien:
Variational Disentangled Attention and Regularization for Visual Dialog. 1-9 - Shuang Dai, Fanlin Meng, Qian Wang, Xizhong Chen:
FederatedNILM: A Distributed and Privacy-Preserving Framework for Non-Intrusive Load Monitoring Based on Federated Deep Learning. 1-8 - Li Tao Li, Steven H. H. Ding, Philippe Charland:
GenTAL: Generative Denoising Skip-gram Transformer for Unsupervised Binary Code Similarity Detection. 1-8 - Songhua Yang, Tengxun Zhang, Hongfei Xu, Yuxiang Jia:
Improving Aspect Sentiment Triplet Extraction with Perturbed Masking and Edge-Enhanced Sentiment Graph Attention Network. 1-8 - Ruiguo Yu, Tao Liu, Jian Yu, Wenbin Zhang, Yue Zhao, Ming Yang, Mankun Zhao, Jiujiang Guo:
Combination of Translation and Rotation in Dual Quaternion Space for Temporal Knowledge Graph Completion. 1-8 - Muhammad Usama Saleem, Liyue Fan:
Private Data Synthesis from Decentralized Non-IID Data. 1-10 - Hanxiao Tan:
Maximum Entropy Baseline for Integrated Gradients. 1-8 - Liping Yi, Xiaorong Shi, Wenrui Wang, Gang Wang, Xiaoguang Liu:
FedRRA: Reputation-Aware Robust Federated Learning against Poisoning Attacks. 1-8 - Zhuoqun Xia, Hangyu Hu, Wenjing Li, Qisheng Jiang, Chengzhang Zhu, Ziwei Zou:
A Framework for Identifying Diabetic Retinopathy Based on patch attention and lesion location. 1-8 - Peng Zhang, Yang Bai, Jie Su, Yan Huang, Yang Long:
Towards Few-shot Image Captioning with Cycle-based Compositional Semantic Enhancement Framework. 1-8 - Xiufang Liang, Yingzheng Zhu, Huajuan Duan, Fuyong Xu, Peiyu Liu, Ran Lu:
Exploiting User Preference in GNN-based Social Recommendation with Contrastive Learning. 1-8 - Chao Wei, Zhidong Deng:
Accommodating Self-attentional Heterophily Topology into High- and Low-pass Graph Convolutional Network for Skeleton-based Action Recognition. 1-8 - Samarth Kashyap, Shayan Srinivasa Garani:
Quantum Convolutional Neural Network Architecture for Multi-Class Classification. 1-8 - Hongcheng Wang, Niansheng Chen, Guangyu Fan, Dingyu Yang, Lei Rao, Songlin Cheng:
An End-to-End Robotic Visual Localization Algorithm Based on Deep Learning. 1-7 - Hidenori Itaya, Tom Sagawa, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Visual Explanation for Cooperative Behavior in Multi-Agent Reinforcement Learning. 1-7 - Hefei Ling, Feiran Sun, Jinyuan Zhang, Xiaorui Lin, Jiazhong Chen, Ping Li, Qian Wang:
General Adversarial Perturbation Simulating: Protect Unknown System by Detecting Unknown Adversarial Faces. 1-8 - Jiawei Liu, Weining Wang, Wei Liu, Qian He, Jing Liu:
ED-T2V: An Efficient Training Framework for Diffusion-based Text-to-Video Generation. 1-8 - Yanan Guo, Xiaoqun Cao, Kecheng Peng:
Application of Improved Physics-Informed Deep Learning Based on Activation Function for Solving Nonlinear Soliton Equation. 1-10 - Yao Zhang, Yunpu Ma, Thomas Seidl, Volker Tresp:
Adaptive Multi-Resolution Attention with Linear Complexity. 1-8 - Chao Gao, Jiaran Hao, Ya Guo:
OSDet: Towards Open-Set Object Detection. 1-8 - Chetan Kadway, Sounak Dey, Arijit Mukherjee, Arpan Pal, Gilles Bézard:
Low Power & Low Latency Cloud Cover Detection in Small Satellites Using On-board Neuromorphic Processors. 1-8 - Alejandro Romero, Francisco Bellas, José Antonio Becerra, Richard J. Duro:
Towards Efficient Knowledge Reuse for Open-ended Learning in Real Robots through Motivation. 1-7 - Joel Janek Dabrowski, Ashfaqur Rahman:
Fruit Picker Activity Recognition with Wearable Sensors and Machine Learning. 1-8 - Jacob Kiggins, J. David Schaffer, Cory E. Merkel:
A Bio-Inspired Computational Astrocyte Model for Spiking Neural Networks. 1-8 - Cong Tan, Shun Yang:
Fine-grained Similarity Matching with a Similarity Filtration Pyramid for Code Search. 1-8 - Junliang Cao, Hua Wei, Yongli Sun, Zhifeng Zhao, Wei Wang, Guangze Sun, Gang Wang:
Multi-Task Collaborative Attention Network for Pedestrian Attribute Recognition. 1-6 - Jianping Yao, Son N. Tran, Lianxue Zhang, Jiaxin Ye, Ananda Maiti, Scott Hadley:
Deep Learning for Effective Gender Classification of Tasmania Giant Crabs. 1-8 - Noora Al Roken, Abir Hussain, Ismail Shahin, Ayad Turky, Bilal Muhammed Khan, Wasiq Khan:
Unsupervised Arabic Speech Embedding Model for Speaker Identification. 1-8 - Yuan Meng, Xuhao Pan, Jun Chang, Yue Wang:
RGAT: A Deeper Look into Syntactic Dependency Information for Coreference Resolution. 1-8 - James Mochizuki-Freeman, Sahaj Singh Maini, Zoran Tiganj:
Characterizing neural activity in cognitively inspired RL agents during an evidence accumulation task. 1-9 - Zijian Guo, Zhuoyi Zhou, Jiahui Pan, Yan Liang:
Engagement Recognition in Online Learning Based on an Improved Video Vision Transformer. 1-8 - Jian Gao, Haoxiang Jie, Bingqing Xu, Lifeng Liu, Jun Hu, Wei Liu:
LCDeT: LiDAR Curb Detection Network with Transformer. 1-9 - Yifan Xu, Lubin Meng, Ruimin Peng, Yingjie Yin, Jingting Ding, Liang Li, Dongrui Wu:
Cross-Modal Diversity-Based Active Learning for Multi-Modal Emotion Estimation. 1-8 - Enrico De Santis, Alessio Martino, Francesca Ronci, Antonello Rizzi:
A Comparison of Neural Word Embedding Language Models for Classifying Social Media Users in the Healthcare Context. 1-9 - Rayson Laroca, Valter Estevam, Alceu S. Britto Jr., Rodrigo Minetto, David Menotti:
Do We Train on Test Data? The Impact of Near-Duplicates on License Plate Recognition. 1-8 - Vineet Kotariya, Anmol Biswas, Udayan Ganguly:
E-STDP: A Spatio-Temporally Local Unsupervised Learning Rule for Sparse Coded Spiking Convolutional Autoencoders. 1-7 - Charlie Haywood, Rabih Younes:
Real-time Blind Deblurring Based on Lightweight Deep-Wiener-Network. 1-8 - Wanqing Jiang, Gaofeng Meng, Tianzi Jiang, Nianming Zuo:
Generalization Across Subjects and Sessions for EEG-based Emotion Recognition Using Multi-source Attention-based Dynamic Residual Transfer. 1-8 - Lakshmi Sireesha Vakada, Anudeep Chaluvadi, Mounika Marreddy, Subba Reddy Oota, Radhika Mamidi:
GAE-ISUMM: Unsupervised Graph-based Summarization for Indian Languages. 1-8 - Rafael C. Ito, Fernando J. Von Zuben:
OFA2: A Multi-Objective Perspective for the Once-for-All Neural Architecture Search. 1-9 - Wanliang Wang, Fangsen Xing, Jiacheng Chen, Qiu Guan:
Wavelet Dual-Stream Network for Brain MR Image Super-Resolution. 1-9 - Xinyi Song, Dongsheng Zou, Yi Yu, Xiaotong Zhang:
FW-ECPE: An Emotion-Cause Pair Extraction Model Based on Fusion Word Vectors. 1-7 - Yang Yang, Mizuka Komatsu, Kenji Oyama, Takenao Ohkawa:
SCIRNet: Skeleton-based cattle interaction recognition network with inter-body graph and semantic priority. 1-8 - Jiahui Shi, Linjing Li, Daniel Dajun Zeng:
Towards Better Word Importance Ranking in Textual Adversarial Attacks. 1-8 - Yuxi Liu, Zhenhao Zhang, Shaowen Qin:
NeuralHMM: A Deep Markov Network for Health Risk Prediction using Electronic Health Records. 1-8 - Long Yingjie, Hu Yingbiao, Zhang Leyi, Huinian Li:
UMLP-IFOCS: Using Multi-Layer Perceptron for Intelligent Field Oriented Control System. 1-8 - Saeed Damadi, Golnaz Moharrer, Mostafa Cham, Jinglai Shen:
The Backpropagation algorithm for a math student. 1-9 - Xin Zhang, Yu Liu, Zhehuan Zhao:
Dual Relation-Aware Entity Alignment for Knowledge Graph. 1-7 - Kenzo Miranda Sakiyama, Rodrigo Nogueira, Roseli A. F. Romero:
Automated Keyphrase Generation for Brazilian Legal Information Retrieval. 1-8 - Jiahao Liu, Hui-Xian Cheng, Guoqiang Xiao, Xianfeng Han:
CA-SSD: Channel-Independent Rare Class Attention for 3D Object Detection. 1-8 - Zhao Ren, Thanh Tam Nguyen, Mohammad Mehdi Zahedi, Wolfgang Nejdl:
Self-Explaining Neural Networks for Respiratory Sound Classification with Scale-free Interpretability. 1-7 - Congcong Wang, Xiumei Wei, Xuesong Jiang:
MA-YOLO: Multi-Scale Information Prediction Network Based on the Multi-Direction Weighted Pyramid for UAV Scene. 1-8 - Zepu Xi, Hongbo Chen, Xiaoqian Chen, Wen Yao:
Swarm Behavior Recognition: Martingales Protected Paradigm. 1-6 - Satoru Koda, Ikuya Morikawa:
OOD-Robust Boosting Tree for Intrusion Detection Systems. 1-10 - Xukun Luo, Ping Wang:
A Sequence Tagging based Framework for Few-Shot Relation Extraction. 1-8 - Chuanxin Song, Xin Ma:
SRRM: Semantic Region Relation Model for Indoor Scene Recognition. 1-8 - Mingjie Han, Ting Jin, Wancong Lin, Can Li, Liang Qiao:
Generating Questions via Unexploited OCR Texts: Prompt-Based Data Augmentation for TextVQA. 1-8 - Lei Zhou:
Spatially Exclusive Pasting: A General Data Augmentation for the Polyp Segmentation. 1-7 - Yinan Mao, Shiji Zhou, Haochen Liu, Zhi Wang, Wenwu Zhu:
Dynamic Edge Caching via Online Meta-RL. 1-10 - Muhao Guo, Yang Weng, Lili Ye, Ying-Cheng Lai:
Continuous Variational Quantum Algorithms for Time Series. 1-8 - Zijie Song, Zhenzhen Hu, Richang Hong:
Grid Feature Jigsaw for Self-supervised Image Clustering. 1-7 - Mritunjoy Halder, Snehasis Banerjee, Balamuralidhar Purushothaman:
Anomalous Activity Detection from Ego View Camera of Surveillance Robots. 1-8 - Minah Lee, Anni Lu, Mandovi Mukherjee, Shimeng Yu, Saibal Mukhopadhyay:
CLUE: Cross-Layer Uncertainty Estimator for Reliable Neural Perception using Processing-in-Memory Accelerators. 1-8 - Do Bao Son, Hiep Khac Vo, Ta Huu Binh, Tran Hoang Hai, Binh Minh Nguyen, Huynh Thi Thanh Binh:
Reinforcement-Learning-Based Deadline Constrained Task Offloading Schema for Energy Saving in Vehicular Edge Computing System. 1-8 - Yann Cherdo, Benoît Miramond, Alain Pegatoquet:
Time series prediction and anomaly detection with recurrent spiking neural networks. 1-10 - Minghao Jiang, Mingxin Cui, Chengshang Hou, Wei Cai, Zhen Li, Gang Xiong, Gaopeng Gou:
FA-Net: More Accurate Encrypted Network Traffic Classification Based on Burst with Self-Attention. 1-10 - Xiangyu Jiang, Yucong Dai, Yongkai Wu:
Fair Selection through Kernel Density Estimation. 1-8 - Bete Aberra Fulle, Chao Ma, Xiaochuan Shi, Weiping Zhu, Zerihun Yemataw, Ephrem Assefa:
Efficient Early Warning System in Identifying Enset Bacterial Wilt Disease using Transfer Learning. 1-8 - Guiyang Lv, Kexin Ma, Ping Zhu, Feiyan Chen, Guoguang He:
Community synchronization of functional brain network with cognitive training. 1-7 - Zifeng Ding, Bailan He, Jingpei Wu, Yunpu Ma, Zhen Han, Volker Tresp:
Learning Meta-Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction. 1-10 - Md Raqib Khan, Ashutosh Kulkarni, Shruti S. Phutke, Subrahmanyam Murala:
Underwater Image Enhancement with Phase Transfer and Attention. 1-8 - Qingfu Wu, Shanghong Xie, Zhen Zeng, Qian Huang, Jiahui Pan:
A Multiple Command UAV Control System Based on a Hybrid Brain-Computer Interface. 1-8 - Peisen Tang, Han Su, Ruixuan Gao, Wensheng Zhao, Chaoying Tang:
Efficient Gait Recognition via Spatial-Temporal Decoupled Network. 1-8 - Alejandro Pereira, Carlos Silva, Marilton S. de Aguiar, Daniel Welfer, Marcelo Dias, Marcelo Ribeiro, Reza Ahmadi:
Detection of retinal microlesions through YOLOR-CSP architecture and image slicing with the SAHI algorithm. 1-8 - Enea Monzio Compagnoni, Anna Scampicchio, Luca Biggio, Antonio Orvieto, Thomas Hofmann, Josef Teichmann:
On the effectiveness of Randomized Signatures as Reservoir for Learning Rough Dynamics. 1-8 - Xiangjing Hu, Congjian Luo, Dun Zeng, Zenglin Xu, Ping Guo, Irwin King:
Flexible Contribution Estimation Methods for Horizontal Federated Learning. 1-8 - Boyuan Du, Yuanlong Yu, Huaping Liu:
Deep Inversion Method for Attacking Lifelong Learning Neural Networks. 1-9 - Chweeho Heo, Boseong Kim, Ohjin Kwon, Yong-Su Na:
Neural-Network Model for Linear MHD Stability Analysis of Tokamak Edge Pedestals. 1-7 - Iago Richard Rodrigues, Leylane Graziele Ferreira da Silva, David L. Macêdo, Cleber Zanchettin, Patricia Takako Endo, Djamel Fawzi Hadj Sadok:
Self-calibrated U-Net for Document Segmentation. 1-8 - Siyang Tan, Binqiang Chen:
Attentional Opponent Modelling for Multi-agent Cooperation. 1-9 - Tian Gan, Susan Stepney, Martin A. Trefzer:
Combining Multiple Inputs to a Delay-line Reservoir Computer: Control of a Forced Van der Pol Oscillator System. 1-7 - Hongzhen Cui, Longhao Zhang, Wen Wu, Yunfeng Peng:
A two-layer BiLSTM model with linear gating for Chinese named entity recognition. 1-8 - Zhixing Ye, Xinwen Cheng, Xiaolin Huang:
FG-UAP: Feature-Gathering Universal Adversarial Perturbation. 1-8 - Kaixiang Yang, Yifan Shi, Zhiwen Yu, Zhijie Zhong, Jichao Bi, Mengzhi Wang:
Hybrid Clustering Solutions Fusion based on Gated Three-way Decision. 1-10 - Yongxin Yu, Minyi Zhao, Shuigeng Zhou:
Boosting Aspect Sentiment Quad Prediction by Data Augmentation and Self-Training. 1-8 - Anísio Lacerda, Daniel Ayala, Francisco Malaguth, Fabio Kanadani:
An Empirical Analysis of Vision Transformers Robustness to Spurious Correlations in Health Data. 1-8 - Yang Yang, Longbing Cao:
MTSNet: Deep Probabilistic Cross-multivariate Time Series Modeling with External Factors for COVID-19. 1-10 - James Burton, Noura Al Moubayed, Amir Enshaei:
Natural Language Explanations for Machine Learning Classification Decisions. 1-9 - Jiuqiang Li:
LGEFE: Effective Local-Global-External Feature Extraction for 3D Point Cloud Classification. 1-8 - Ting Zou, Zhong Qian, Peifeng Li:
Multi-level Interaction Network for Multi-Modal Rumor Detection. 1-8 - Ahmed Amer, Chirag Bhuvaneshwara, Gowtham K. Addluri, Mohammed M. Shaik, Vedant Bonde, Philipp Müller:
Backchannel Detection and Agreement Estimation from Video with Transformer Networks. 1-8 - Zhifeng Li, Bowei Zou, Yifan Fan, Yu Hong:
KEPR: Knowledge Enhancement and Plausibility Ranking for Generative Commonsense Question Answering. 1-8 - Vladimir A. Golovko, Egor Mikhno, Aliaksandr Kroschanka, Marta Chodyka, Piotr Lichograj:
Adaptive Learning Rate for Unsupervised Learning of Deep Neural Networks. 1-6 - Timo Lohrenz, Björn Möller, Zhengyang Li, Tim Fingscheidt:
Relaxed Attention for Transformer Models. 1-10 - Matthew Lai, Longbing Cao, Haiyan Lu, Quang Ha, Li Li, Md. Jahangir Hossain, Paul J. Kennedy:
An Unsupervised Hierarchical Clustering Approach to Improve Hopfield Retrieval Accuracy. 1-8 - Biswadeep Chakraborty, Saibal Mukhopadhyay:
Brain-Inspired Spiking Neural Network for Online Unsupervised Time Series Prediction. 1-8 - Sichao Li, Amanda S. Barnard:
Variance Tolerance Factors For Interpreting All Neural Networks. 1-9 - Xiaoyan Gongye, Chongxu Hu, Xiaohu Zhang, Shuang Liu:
Multi-dimensional Semantic-based Text Classification Model. 1-7 - Shiiie Wang, Yi Pan, Zhiqiang Pu, Jianqiang Yi, Yanyan Liang, Du Zhang:
Heterogeneous-graph Attention Reinforcement Learning for Football Matches. 1-7 - Fucheng Wang, Yunfei Yin, Faliang Huang, Kaigui Wu:
Please don't answer out of context: Personalized Dialogue Generation Fusing Persona and Context. 1-8 - Ruijie Jiang, Prakash Ishwar, Shuchin Aeron:
Hard Negative Sampling via Regularized Optimal Transport for Contrastive Representation Learning. 1-8 - Yunjie Peng, Chunshui Cao, Zhiqiang He:
Occluded Gait Recognition. 1-8 - Weifan Li, Yuanheng Zhu, Dongbin Zhao:
Advantage Constrained Proximal Policy Optimization in Multi-Agent Reinforcement Learning. 1-8 - T. P. Abdul Rahoof, Vivek Chaturvedi, Muhammad Shafique:
FastCaps: A Design Methodology for Accelerating Capsule Network on Field Programmable Gate Arrays. 1-8 - Hao Ma, Zhiqiang Pu, Yi Pan, Boyin Liu, Junlong Gao, Zhenyu Guo:
Causal Mean Field Multi-Agent Reinforcement Learning. 1-8 - Thuy Dung Nguyen, Anh Duy Nguyen, Thanh-Hung Nguyen, Kok-Seng Wong, Huy Hieu Pham, Truong Thao Nguyen, Phi Le Nguyen:
FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients Inspection. 1-10 - Jiawei Liu, Xin Lin, Liang He:
Image Alone Are Not Enough: A General Semantic-Augmented Transformer-Based Framework for Image Captioning. 1-8 - Mohamed Abbas Konaté, Anne-Françoise Yao, Thierry Chateau, Pierre Bouges:
Toward industrial use of continual learning: new metrics proposal for class incremental learning. 1-7 - Ismail R. Alkhouri, Alvaro Velasquez, George K. Atia:
A Non-Targeted Attack Approach for the Coarse Misclassification Problem. 1-7 - Yaxuan Ye, Ning Yang:
An Anchor-Semantics-Aware Neural Preference Propagation Model for Session-based Recommendation. 1-10 - Zhuanzhuan Liu, Xing Ma, Peng Zhang, Chuzhan Hao, Shuo Zhang, Lin Wang:
TIDE: Affective Time-aware Representations for Fine-grained Depression Identification on Social Media. 1-8 - Xiaoxing Mo, Leo Yu Zhang, Nan Sun, Wei Luo, Shang Gao:
Backdoor Attack on Deep Neural Networks in Perception Domain. 1-8 - Juntao Zhang, Peng Cheng, Zehan Li, Hao Wu, Wenbo An, Jun Zhou:
QCA-Net: Quantum-based Channel Attention for Deep Neural Networks. 1-7 - Antonio W. C. Do Lago, Isabel Giron Camerini, Lucas Castro Sousa, Daniel H. B. de Sousa, Felipe Rebelo Lopes, Marco Antonio Meggiolaro, Helon Vicente Hultmann Ayala:
Black-box Identification with Static Neural Networks of Nonlinearities of an Elastomer-based Elastic Joint Manipulator. 1-7 - Wei Li, Li Li:
Leveraging Task Dependencies and Label Constraints for Legal Judgment Prediction. 1-8 - Wei Song, Weishuai Gu:
Hierarchical Knowledge Transfer Network for Distantly Supervised Relation Extraction. 1-9 - Krishnendu Guha, Amit Ranjan Trivedi, Swarup Bhunia:
Energy Efficient Memory-based Inference of LSTM by Exploiting FPGA Overlay. 1-7 - Zhuoqun Xia, Qisheng Jiang, Wenjing Li, Hangyu Hu, Chengzhang Zhu, Ziwei Zou:
A Two-stream Channel Cross Enhancement Network for Diabetic Retinopathy Classification. 1-7 - Zhengyu Li, Desheng Zheng, Lintao Li, Peilei He, Ruibao Liu, Xingyu Qian, Shan Yang:
TADS: Temporal Autoencoder Dynamic Series Framework for Unsupervised Anomaly Detection. 1-8 - Hui Wang, Liping Wang, Qicang Qiu, Hao Jin, Yuyan Gao, Yanjie Lu, Haisen Wang, Wei Wu:
Koopformer: Robust Multivariate Long-Term Prediction via Mixed Koopman Neural Operator and Spatial-Temporal Transformer. 1-8 - Yiwei Guo, Le Kang, Mengqi Wu, Lijuan Zhou, Zhihong Zhang:
Joint Node Representation Learning and Clustering for Attributed Graph via Graph Diffusion Convolution. 1-7 - Masahiro Kohjima:
Latent Neural Phase Model for Synchronization Analysis. 1-7 - Gaurab Bhattacharya, Gaurav Sharma, Kuruvilla Abraham, Nikhil Kilari, Jayavardhana Gubbi, Bagya Lakshmi V, P. Balamuralidhar, Arpan Pal:
SwatchNet: Small Components Aware Attention for Fashion Product Recoloring. 1-8 - Fei Chen, Zihan Kang, Chenxi Zhang, Chunming Wu:
Multi-contrastive Learning Recommendation Combined with Knowledge Graph. 1-8 - Dingcheng Yang, Wenjian Yu, Zihao Xiao, Jiaqi Luo:
Generating Adversarial Examples with Better Transferability via Masking Unimportant Parameters of Surrogate Model. 1-8 - Stefano Fioravanti, Andrea Zugarini, Francesco Giannini, Leonardo Rigutini, Marco Maggini, Michelangelo Diligenti:
Linguistic Feature Injection for Efficient Natural Language Processing. 1-7 - Mengling Fan, Fengzhen Tang, Xingang Zhao:
Prototype based linear sub-manifold learning. 1-8 - Yifan Shang, Xiucai Ye, Tetsuya Sakurai:
Common and Unique Features Learning in Multi-view Network Embedding. 1-8 - Weslley Lima, Ricardo Lira, Anselmo Cardoso de Paiva, Jasson Silva, Victor Silva:
Methodology for automatic extraction of red flags in public procurement. 1-7 - Feng Ding, Naiwen Luo, Shuo Yu, Tingting Wang, Feng Xia:
MEGA: Explaining Graph Neural Networks with Network Motifs. 1-9 - Jamie Stirling, Noura Al Moubayed:
Addressing Performance Inconsistency in Domain Generalization for Image Classification. 1-8 - Dustin Aganian, Mona Köhler, Sebastian Baake, Markus Eisenbach, Horst-Michael Groß:
How Object Information Improves Skeleton-based Human Action Recognition in Assembly Tasks. 1-9 - ZhenHua Zhang, Dehua Chen, Mei Wang, Qiao Pan, Zhen Wang:
MS-BioAP: A Pipeline for biomarker analysis based on data independent acquisition mass spectrometry. 1-8 - Jing Xiang, Guitao Cao, Xinyue Zhang, Hanxiu Zhang, Chunwei Wu, Hong Wang:
Discriminative Feature Mining and Alignment for Unsupervised Domain Adaptation. 1-8 - Yu-Won Lee, Myeong-Seok Oh, Ho-Joong Kim, Seong-Whan Lee:
Enhancing Discriminative Ability among Similar Classes with Guidance of Text-Image Correlation for Unsupervised Domain Adaptation. 1-8 - Hiroki Kobayashi, Manabu Hashimoto:
DRepT: Anomaly Detection Based on Transfer of Defect Representation with Transmittance Mask. 1-8 - Chao Li, Fengge Wu, Junsuo Zhao:
Accelerating Self-Imitation Learning from Demonstrations via Policy Constraints and Q-Ensemble. 1-8 - Dilruk Perera, Siqi Liu, Mengling Feng:
Demystifying Complex Treatment Recommendations: A Hierarchical Cooperative Multi-Agent RL Approach. 1-10 - Hanyue Zhang, Li Li, Jun Shen:
PGLR: Pseudo Graph and Label Reuse for Entity Relation Extraction. 1-8 - Jianing Xu, Yang Li:
Graph Pruning and Representation Learning for Stance Detection. 1-8 - Yang Zhang, Yufei Wang, Quan Z. Sheng, Adnan Mahmood, Wei Emma Zhang, Rongying Zhao:
Hybrid Data Augmentation for Citation Function Classification. 1-8 - Guangzhi Zhao, Kedian Mu:
Connection-Based Knowledge Transfer for Class Incremental Learning. 1-8 - Xuanjie Fang, Wei Wang:
Defending Machine Reading Comprehension against Question-Targeted Attacks. 1-8 - Yan Wang, Dunwei Gong, Xiaoyan Sun:
Multi-granularity Autonomous Intelligent Method for Operation Optimization of Integrated Coal Mine Energy Systems. 1-10 - Zhifeng Li, Bowei Zou, Yifan Fan, Yu Hong:
UFO: Unified Fact Obtaining for Commonsense Question Answering. 1-8 - Wenhao Niu, Xingrui Zhuo, Gongqing Wu, Junwei Lv, Zan Zhang, Chenyang Bu:
Multivariate Time Series Classification via Hierarchical Graph Embedding. 1-8 - Artem R. Muliukov, Laurent Rodriguez, Benoît Miramond:
Cortex Inspired Learning to Recover Damaged Signal Modality with ReD-SOM Model. 1-9 - Neel Mishra, Pawan Kumar:
Angle based dynamic learning rate for gradient descent. 1-8 - He Cheng, Depeng Xu, Shuhan Yuan:
Explainable Sequential Anomaly Detection via Prototypes. 1-8 - Sayan Kahali, Sounak Dey, Chetan Kadway, Arijit Mukherjee, Arpan Pal, Manan Suri:
Low-Power Lossless Image Compression on Small Satellite Edge using Spiking Neural Network. 1-8 - Qichen Zheng, Jie Hong, Moshiur Farazi:
A Generative Approach to Audio-Visual Generalized Zero-Shot Learning: Combining Contrastive and Discriminative Techniques. 1-8 - Michelangelo Diligenti, Francesco Giannini, Stefano Fioravanti, Caterina Graziani, Moreno Falaschi, Giuseppe Marra:
Enhancing Embedding Representations of Biomedical Data using Logic Knowledge. 1-8 - Sizhe Zhang, Dongning Ma, Song Bian, Lei Yang, Xun Jiao:
On Hyperdimensional Computing-based Federated Learning: A Case Study. 1-8 - Matteo Frosi, Matteo Bellusci, Marco Amoruso, Matteo Matteucci:
A Semantic-Oriented Pipeline for 3D Reconstruction of Vehicles in Urban Scenes. 1-8 - Ibuki Matsumoto, Sou Nobukawa, Tomoki Kurikawa, Nobuhiko Wagatsuma, Yusuke Sakemi, Takashi Kanamaru, Nina Sviridova, Kazuyuki Aihara:
Optimal Excitatory and Inhibitory Balance for High Learning Performance in Spiking Neural Networks with Long-Tailed Synaptic Weight Distributions. 1-8 - Hui Zheng, Yi Qian, Ruoxuan Zhu, Xing Wang, Junlan Feng, Lin Zhu, Chao Deng:
Multi-Branch Spatial-Temporal Decoupling Neural Network for Traffic Forecasting. 1-8 - Thiago M. Carvalho, Marley M. B. R. Vellasco, José F. M. do Amaral:
Out-of-Distribution Detection in Deep Learning Models: A Feature Space-Based Approach. 1-7 - Xiaosong Yuan, Ke Chen, Wanli Zuo, Yijia Zhang:
TC-GAT: Graph Attention Network for Temporal Causality Discovery. 1-8 - Cory Kromer-Edwards, Mariana Castanheira, Suely Oliveira:
Using Feature Selection from XGBoost to Predict MIC Values with Neural Networks. 1-8 - Adrien Wantiez, Tianming Qiu, Stefan Matthes, Hao Shen:
Scene Understanding for Autonomous Driving Using Visual Question Answering. 1-7 - Istasis Mishra, Arpan Dasgupta, Pratik Jawanpuria, Bamdev Mishra, Pawan Kumar:
Light-weight Deep Extreme Multilabel Classification. 1-8 - Sagar Kaw, Ziad Kobti, Kalyani Selvarajah:
Transfer Learning with Graph Attention Networks for Team Recommendation. 1-8 - Yufeng Hu, Sanping Zhou, Jinpeng Dong, Nanning Zheng:
TEMI-MOT: Towards Efficient Multi-Modality Instance-Aware Feature Learning for 3D Multi-Object Tracking. 1-9 - Ruicheng Liu, Guanyi Chen, Rui Mao, Erik Cambria:
A Multi-task Learning Model for Gold-two-mention Co-reference Resolution. 1-8 - Shijie Wen, Yiqiang Chen, Shuai Guo, Yuan Ma, Yang Gu, Piu Chan:
Discriminative Domain Adaptation Network for Fine-grained Disease Severity Classification. 1-8 - Prakash Chourasia, Zahra Tayebi, Sarwan Ali, Murray Patterson:
Empowering Pandemic Response with Federated Learning for Protein Sequence Data Analysis. 1-8 - Zexian Xie, Peipei Li, Jinling Jiang, Xindong Wu:
Semi-supervised Multi-Label Learning with Missing Labels via Correlation Information. 1-8 - Hasini Nakulugamuwa Gamage, Madhu Chetty, Suryani Lim, Jennifer Hallinan, Huy Nguyen:
A Robust Ensemble Regression Model for Reconstructing Genetic Networks. 1-8 - Thomas Altstidl, An Nguyen, Leo Schwinn, Franz Köferl, Christopher Mutschler, Björn M. Eskofier, Dario Zanca:
Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks. 1-8 - Xi Li, Jingsen Zhang, Xiaohe Bo, Lei Wang, Xu Chen:
Recommendation with Dynamic Natural Language Explanations. 1-8 - Rui Xiao, Ming-Yi You, Rui Zhou, Qingjiang Shi:
A Robust Two-Dimensional DOA Estimation Approach Based on Convolutional Attention Network. 1-7 - Fabio Giampaolo, Stefano Izzo, Edoardo Prezioso, Francesco Piccialli:
Investigating Random Variations of the Forward-Forward Algorithm for Training Neural Networks. 1-7 - Zhe Huang, Yongcai Wang, Xingui Tang, Hongyu Sun:
Boundary-Aware Set Abstraction for 3D Object Detection. 1-7 - Guangyao Li, Mingxue Liao, Yongyue Chao, Pin Lv:
DenseStream: A Novel Data Representation for Gradient Sparsification in Distributed Synchronous SGD Algorithms. 1-8 - Utku Ayvaz, Chih-Hong Cheng, Hao Shen:
Potential-based Credit Assignment for Cooperative RL-based Testing of Autonomous Vehicles. 1-8 - Xiaofeng Wang, Qingzhe Cui, Lixiang Xu, Haifeng Liu, Lixin He, Bin Luo, Sibao Chen, Yuanyan Tang:
GLCNet: Global-Local Complementary Network for 3D Shape Recognition. 1-8 - Junsong Gao, Ziyu Chen, Cheng Zhang:
Pretrained Parameter Configurator for Large Neighborhood Search to Solve Weighted Constraint Satisfaction Problems. 1-8 - Shun Hiramatsu, Shingo Murata:
Deep Predictive Network for Inference and Dynamic Optimization of Task Goals during Human-Robot Collaboration. 1-6 - Zirui Zhang, Fanfang Meng, Yuanhui Meng, Xiaoxia Liu, Benhui Chen:
Iterative Fusion Method Based on Heterogeneous Graph Neural Network for Entity Alignment. 1-8 - Ruyi Ji, Zhenyu Tong, Tiejian Luo, Jing Liu, Libo Zhang:
A Semantic and Structural Transformer for Code Summarization Generation. 1-9 - Muzhou Yu, Linfeng Zhang, Kaisheng Ma:
Revisiting Data Augmentation in Model Compression: An Empirical and Comprehensive Study. 1-10 - Julio J. Valdés, Alain B. Tchagang:
Approximating the Atomic Composition of Drug-like Molecules from Quantum Derived Properties: Inverse Design. 1-8 - Zhongqiu Li, Yu Hong, Shiming He, Shuai Yang, Guodong Zhou:
A Mixture of Experts with Adaptive Semantic Encoding for Event Detection. 1-7 - Xuesen Ma, Jindian Dong, Weixin Wei, Biao Zheng, Ji Ma, Tianbao Zhou:
Remote Sensing Image Object Detection by Fusing Multi-Scale Contextual Features and Channel Enhancement. 1-7 - Chenxu Yang, Xin Man, Jie Shao:
G&L: An Attention-based Model for Improving Prefetching in Solid-state Drives. 1-8 - Hui Ming Li:
Residual Hybrid Attention Network for Single Image Dehazing. 1-8 - Ayoub Arous, Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique:
Exploring Machine Learning Privacy/Utility Trade-Off from a Hyperparameters Lens. 1-10 - Zhongliang Zeng, Dongdong Li, Zhe Wang, Hai Yang:
Multi-level Feature Joint Learning Methods for Emotional Speaker Recognition. 1-8 - Mohammad Kamel Daradkeh, Wathiq Mansoor, Shadi Atalla, Yassine Himeur, Oussama Kerdjidj:
Lifelong Machine Learning for Topic Modeling Based on Hellinger Distance. 1-8 - Giorgio Morales, John W. Sheppard:
Counterfactual Explanations of Neural Network-Generated Response Curves. 1-8 - Bo Gao, Fan Zhang:
Manually Crafted Chinese Text Corpus for Text Emotion Recognition. 1-7 - Can Wang, Minghua Zhu:
A Novel Hybrid Model Based on Deep Learning and Autoregressive for Air Quality Prediction. 1-7 - Kaijie Dai, Zehao Zhou, Song Qiu, Yan Wang, Mei Zhou, Mingshuai Li, Qingli Li:
A Generative Data Augmentation Trained by Low-quality Annotations for Cholangiocarcinoma Hyperspectral Image Segmentation. 1-9 - Santosh Kumar Yadav, Esha Pahwa, Achleshwar Luthra, Kamlesh Tiwari, Hari Mohan Pandey:
SWTA: Sparse Weighted Temporal Attention for Drone-Based Activity Recognition. 1-8 - Dolton Fernandes, Pramod S. Kaushik, Raju Surampudi Bapi:
Emergence of Direction Selectivity and Motion Strength in Dot Motion Task Through Deep Reinforcement Learning Networks. 1-7 - Yijun Zhao, Fajian Jiang, Jinfeng Wang:
MFGCL: Light graph contrast learning with multi-feature information for recommendation. 1-8 - Wei Ding, Jiawei Sun, Jie Li, Chentao Wu:
Inductive Dummy-based Homogeneous Neighborhood Augmentation for Graph Collaborative Filtering. 1-8 - Shereen Elsayed, Lars Schmidt-Thieme:
Deep Multi-Representation Model for Click-Through Rate Prediction. 1-9 - Yiran Huang, Nicole Schaal, Michael Hefenbrock, Yexu Zhou, Till Riedel, Michael Beigl:
McXai: Local Model-Agnostic Explanation As Two Games. 1-8 - Zhihao Hu, Yiran Xu, Xinmei Tian:
Adaptive Priority Reweighing for Generalizing Fairness Improvement. 1-8 - Yalun Wang, Shidong Chen, Huicong Bian, Weixiao Li, Qin Lu:
Deep Multi - Resolution Network for Real- Time Semantic Segmentation in Street Scenes. 1-8 - Tim Whitaker, Darrell Whitley:
Interpretable Diversity Analysis: Visualizing Feature Representations in Low-Cost Ensembles. 1-8 - Alvin V. Garcia, Azarakhsh Jalalvand, Peter Steiner, Andrew Rothstein, Michael Van Zeeland, William W. Heidbrink, Egemen Kolemen:
Alfvén eigenmode detection using Long-Short Term Memory Networks and CO2 Interferometer data on the DIII-D National Fusion Facility. 1-8 - Jiayu An, Changming Zhao, Dongrui Wu:
Semi-Supervised Generalized Source-Free Domain Adaptation (SSG-SFDA). 1-8 - Li Huang, Weiwei Cui, Bin B. Zhu, Haidong Zhang:
Visually Analysing the Fairness of Clustered Federated Learning with Non-IID Data. 1-10 - Theodoros Tsiligkaridis, Athanasios Tsiligkaridis:
Diverse Gaussian Noise Consistency Regularization for Robustness and Uncertainty Calibration. 1-8 - Mathías Etcheverry, Dina Wonsever:
Antonymy-Synonymy Discrimination through Repelling Parasiamese Neural Networks. 1-7 - Xinyu Zhao, Tianliang Liu, Yujie Chang:
Arithmetical Evaluation System based on improved-YOLOv5 and CRNN networks. 1-7 - Shuo Sun, Hongxu Hou, Zongheng Yang, Yisong Wang:
Multilingual Pre-training Model-Assisted Contrastive Learning Neural Machine Translation. 1-7 - Jiazhou Zheng, Hiroaki Aizawa, Takio Kurita:
Facial Image Manipulation via Discriminative Decomposition of Semantic Space. 1-8 - Qi Wang, Shubing Zhang, Li Zhou:
Emotion-Guided Music Accompaniment Generation Based on Variational Autoencoder. 1-8 - Haozhe Sun, Isabelle Guyon, Felix Mohr, Hedi Tabia:
RRR-Net: Reusing, Reducing, and Recycling a Deep Backbone Network. 1-9 - Swarnava Dey, Pallab Dasgupta, Partha Pratim Chakrabarti:
DietCNN: Multiplication-free Inference for Quantized CNNs. 1-8 - Pedro J. Zufiria, Carlos Borrajo, Miguel Taibo:
Multi-objective machine training based on Bayesian hyperparameter tuning. 1-7 - Chengcheng Sun, Qiang Niu, Xiaobin Rui, Zhixiao Wang:
Graph Neural Network with Virtual Edge Message Passing for Heterophilous Graphs. 1-8 - Adrian Ly, Richard Dazeley, Peter Vamplew, Francisco Cruz, Sunil Aryal:
Elastic step DDPG: Multi-step reinforcement learning for improved sample efficiency. 1-6 - Wenhao Gao, Xiaobing Li, Yun Tie, Lin Qi:
Music Question Answering Based on Aesthetic Experience. 1-6 - Zeyu Huang, Xiaofeng Zhang, Jun Bai, Wenge Rong, Yuanxin Ouyang, Zhang Xiong:
Solving Math Word Problems Following Logically Consistent Template. 1-8 - Xunhan Hu, Jian Zhao, Youpeng Zhao, Wengang Zhou, Houqiang Li:
Q-SAT: Value Factorization with Self-Attention for Deep Multi-Agent Reinforcement Learning. 1-8 - Xiaobin Huang, Qiufu Li, Linlin Shen, Xingwei Chen:
CDNet: Cross-frequency Dual-branch Network for Face Anti-Spoofing. 1-9 - Danny van den Berg, Tom Slooff, Marco Brohet, Kostas Papagiannopoulos, Francesco Regazzoni:
Data Under Siege: The Quest for the Optimal Convolutional Autoencoder in Side-Channel Attacks. 1-9 - Jin Fan, Zhanyu Si, Zehao Wang, Danfeng Sun, Jia Wu, Huifeng Wu:
OOA-UADS: Offline, Online, Analysis-an Unsupervised Anomaly Detection Solution for Multivariate Time Series. 1-9 - Hugo Miralles, Tamara Tosic, Michel Riveill:
FLCAP: Federated Learning with Clustered Adaptive Pruning for Heterogeneous and Scalable Systems. 1-8 - Francesco Semeraro, Jon Carberry, Angelo Cangelosi:
Towards Multi-User Activity Recognition through Facilitated Training Data and Deep Learning for Human-Robot Collaboration Applications. 1-9 - Kangshuai Guo, Shichao Luo, Ming Liang, Zhongjian Zhang, Huabin Yang, Yan Wang, Yingjie Zhou:
Credit Default Prediction on Time-Series Behavioral Data Using Ensemble Models. 1-9 - Nathan Bain, Roberto Guizzetti, Emilien Taly, Ali Oudrhiri, Bruno Paille, Pascal Urard, Frédéric Pétrot:
Quantization Modes for Neural Network Inference: ASIC Implementation Trade-offs. 1-8 - Runsheng Lin, Zihan Xing, Mingze Ma, Raymond S. T. Lee:
Dynamic Portfolio Optimization via Augmented DDPG with Quantum Price Levels-Based Trading Strategy. 1-8 - Enrico Picco, Serge Massar:
Real-Time Photonic Deep Reservoir Computing for Speech Recognition. 1-7 - Michael Jurado, Audrey Dunn, Samuel A. Shapero:
Spikemoid: Updated Spike-based Loss Methods for Classification. 1-7 - Tianyao Wang, Fan He, Ruikai Yang, Zhixing Ye, Xiaolin Huang:
Consensus-Based Distributed Kernel One-class Support Vector Machine for Anomaly Detection. 1-8 - Brendon J. Woodford:
Automatic Parameter Optimisation Framework for ECoS-based Models. 1-8 - Jiankai Zuo, Yaying Zhang:
SGED-Net: A Self-organizing Graph Embedding Deep Network for Travel Time Estimation. 1-9 - Yash Patel, Sadhana Tiwari, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Predicting Habitable Exoplanets in Different Star-Systems Using Deep Learning Based Anomaly Detection Approach. 1-7 - Yuxi Liu, Zhenhao Zhang, Shaowen Qin:
Deep Imputation-Prediction Networks for Health Risk Prediction using Electronic Health Records. 1-9 - Yuhang Zhou, Ke Niu, Haoyi Lv, GuoQiang Lu, Yijie Pan:
CGDC- LSTM: A novel hybrid neural network model for MOOC dropout prediction. 1-8 - Boyi Xiao, Jin Xie, Jing Nie:
DDNet: Density and depth-aware network for object detection in foggy scenes. 1-7 - Ekta Gupta, Varun Gupta, Muskaan Chopra, Prakash Chandra Chhipa, Marcus Liwicki:
Learning Self-Supervised Representations for Label Efficient Cross-Domain Knowledge Transfer on Diabetic Retinopathy Fundus Images. 1-7 - Bo Xu, Nian Liu, Luyi Cheng, Shizhou Huang, Shouang Wei, Ming Du, Hui Song, Hongya Wang:
Knowledge Graph Enhanced Sentential Relation Extraction via Dual Heterogeneous Graph Context Selection. 1-7 - Chengkai Ren, Xiuhua Liu, Mengyuan Cao, Jian Zhang, Hongwei Wang:
A Novel End-to-End Transformer for Scene Graph Generation. 1-7 - Shuaishuai Zu, Li Li, Jun Shen:
CAKT: Coupling contrastive learning with attention networks for interpretable knowledge tracing. 1-8 - Basim Azam, Brijesh K. Verma:
A Graph-based Context Learning Technique for Image Parsing. 1-10 - Jose Ivson S. Silva, Kevin Ian Ruiz Vargas, Antônio A. Carlos, Lucas P. de Albuquerque, Mateus Baltazar de Almeida, Allan Soares Vasconcelos, Victor Ximenes C. Oliveira, José Gabriel P. Tavares, Danilo Vaz Marcolino Alves, Diêgo J. C. Santiago, Bernardo Augusto de Oliveira, Carlos Padilha, Tsang Ing Ren:
A Neurally Guided Patch-Based Style Transfer for Mobile Devices. 1-8 - Ronghai Xu, Changhong Liu, Yong Chen, Zhenchun Lei:
Snippet-level Supervised Contrastive Learning-based Transformer for Temporal Action Detection. 1-8 - Yuanyuan Zhang, Yonghong Song, Anqi Li:
Handwritten Chinese Character Generation via Embedding, Decomposition and Discrimination. 1-7 - Manon Dampfhoffer, Joel Minguet Lopez, Thomas Mesquida, Alexandre Valentian, Lorena Anghel:
Improving the Robustness of Neural Networks to Noisy Multi-Level Non-Volatile Memory-based Synapses. 1-8 - Jiao Huang, Jifeng Hu, Luheng Yang, Zhihang Ren, Hechang Chen, Bo Yang:
QVDDPG: QV Learning with Balanced Constraint in Actor-Critic Framework. 1-8 - Keigo Tada, Hiroki Naganuma:
How Image Corruption and Perturbation Affect Out-of-Distribution Generalization and Calibration. 1-6 - Yuhan Xiong, Jiawei You, Liping Shen:
GAN Latent Space Manipulation Based Augmentation for Unbalanced Emotion Datasets. 1-8 - Sarthak Malik, Himanshi Charotia, Gaurav Dhama:
TETRAA - Trained and Selective Transmutation of Encoder-based Adversarial Attack. 1-8 - Aviral Chharia, Runjhun Saran, Apurva Narayan:
cAPTured: Neural Reflex Arc-Inspired Fuzzy Continual Learning for Capturing in Silico Aptamer-Target Protein Interactions. 1-9 - Wenbo Zhang, Shuo Zhang, Jinyi Chen, Hejiao Huang:
CCFD-GAN: Credit Card Fraud Detection Based on Generative Adversarial Networks Enhanced by Penalty Mechanism. 1-8 - Weibang Li, Ling Li:
Multi-task Scheduling with Dependencies in Heterogeneous Edge Arithmetic Networks. 1-8 - Jialan Hong, Qinbing Fu, Xuelong Sun, Haiyang Li, Jigen Peng:
Boosting Collision Perception Against Noisy Signals with a Probabilistic Neural Network. 1-8 - Gavin Fungtammasan, Irena Koprinska:
Convolutional and LSTM Neural Networks for Solar Power Forecasting. 1-7 - Mansour Zoubeirou A. Mayaki, Michel Riveill:
Machinery Anomaly Detection using artificial neural networks and signature feature extraction. 1-10 - Lucas de Lima Nogueira, David L. Macêdo, Cleber Zanchettin, Fernando M. P. Neto, Adriano Lorena Inácio de Oliveira:
Learning What, Where and Which to Transfer. 1-8 - Jie Xin, Jing Zeng, Ya Cong, Weihao Jiang, Shiliang Pu:
Cooperation Skill Motivated Reinforcement Learning for Traffic Signal Control. 1-9 - Fanqi Li, Lin Wang, Bo Yang, Pengwei Guan:
Incorporating Least-Effort Loss to Stabilize Training of Wasserstein GAN. 1-7 - Andrés Eduardo, Coca Salazar:
GLSI Texture Descriptor Based on Complex Networks for Music Genre Classification. 1-8 - Dapeng Li, Zhiwei Xu, Bin Zhang, Guoliang Fan:
SEA: A Spatially Explicit Architecture for Multi-Agent Reinforcement Learning. 1-8 - Hao Cheng, Wei Zhang, Shuo Wang, Hao Liao:
Explainable Restaurant Closure Prediction through Co-Attentive Contrastive Learning. 1-8 - Shenhao Gui, Qingquan Zhang, Changwu Huang, Bo Yuan:
Fairer Machine Learning Through the Hybrid of Multi-objective Evolutionary Learning and Adversarial Learning. 1-9 - Katsiaryna Haitsiukevich, Alexander Ilin:
Improved Training of Physics-Informed Neural Networks with Model Ensembles. 1-8 - Murillo G. Carneiro, Camila D. Ramos, João-Batista Destro-Filho, Yu-tao Zhu, Donghong Ji, Liang Zhao:
High-Level Classification for EEG Analysis. 1-8 - Xiaohui Li, Zhongkui Zhu, Liqun He, Yu-e Sun, Yu Chen:
The Low-rank Double-scale Convolutional Neural Network for Parameter Identification of DC Bus Capacitor in Smart Transformer. 1-8 - Yoshinari Motokawa, Toshiharu Sugawara:
Interpretability for Conditional Coordinated Behavior in Multi-Agent Reinforcement Learning. 1-8 - Xukun Luo, Weijie Liu, Meng Ma, Ping Wang:
A Bidirectional Tree Tagging Scheme for Joint Medical Relation Extraction. 1-8 - Md Monibor Rahman, Lasitha Vidyaratne, Adam Carpenter, Chris Tennant, Khan M. Iftekharuddin:
Uncertainty Aware Deep Learning for Fault Prediction Using Multivariate Time Series Signals. 1-7 - Yuqi Li, Yizhi Luo, Song Wu:
Retrieval-Based Natural 3D Human Motion Generation. 1-7 - Yuke Si, Yan Zhang, Yuhang Li, Xiaobao Wang, Longbiao Wang, Jianwu Dang, Eng Siong Chng, Haizhou Li:
Local and Global Context Modeling with Relation Matching Task for Dialog Act Recognition. 1-8 - Jacob Morra, Mark Daley:
Using Connectome Features to Constrain Echo State Networks. 1-8 - Yang Yu, Qiyue Yin, Junge Zhang, Hao Chen, Kaiqi Huang:
Underexplored Subspace Mining for Sparse-Reward Cooperative Multi-Agent Reinforcement Learning. 1-8 - Peng Wang, Zhe Wang, Xiaowang Zhang, Kewen Wang, Zhiyong Feng:
Enhanced Named Entity Recognition through Joint Dependency Parsing. 1-8 - Joseph Zalameda, Megan A. Witherow, Alexander Glandon, Jose Aguilera, Khan M. Iftekharuddin:
Attack Assessment and Augmented Identity Recognition for Human Skeleton Data. 1-8 - Zhongju Yuan, Zhenkun Wang, Genghui Li:
Cross-Domain Few-Shot Relation Extraction via Representation Learning and Domain Adaptation. 1-8 - Hepeng Li, Xiangnan Zhong, Haibo He:
An Improved Trust-Region Method for Off-Policy Deep Reinforcement Learning. 1-8 - Sergej Olenin, Tatiana A. Levanova:
Extreme events in small ensemble of bursting neurons with chemical and electrical couplings. 1-6 - Yifan Xu, Yohei Seki:
Handling Chinese OOV with a Combination of Radical-based Sub-words and Glyph Features. 1-7 - Jianzong Wang, Xulong Zhang, Haobin Tang, Aolan Sun, Ning Cheng, Jing Xiao:
SAR: Self-Supervised Anti-Distortion Representation for End-To-End Speech Model. 1-7 - Ting Lu, Shengbiao Wang, Qiubo Huang, Wenjing Guo, Shan Chang, Guohua Liu:
Improving Relation Extraction by Entity-Level Contrastive Learning. 1-7 - Rinor Cakaj, Jens Mehnert, Bin Yang:
Weight Compander: A Simple Weight Reparameterization for Regularization. 1-10 - Jieying Zhou, Junyao Zheng, Bokai Cao, Weigang Wu:
MVMAFOL: A Multi-Access Three-Layer Federated Online Learning Algorithm for Internet of Vehicles. 1-8 - Yuwei Ye, Zhilong Shan:
HGKT: Hypergraph-based Knowledge Tracing for Learner Performance Prediction. 1-9 - Haoyu Ren, Darko Anicic, Thomas A. Runkler:
TinyReptile: TinyML with Federated Meta-Learning. 1-9 - Luca Hermes, Aleksei Liuliakov, Malte Schilling:
Graph Learning by Dynamic Sampling. 1-8 - Wenhao Du, Zhigang Ren, Muju Wang, An Chen, Hanqing Liu, Shenyu Su:
Evolutionary Multitasking with Search Direction Alignment. 1-8 - Jinbi Liang, Yunhao Li, Shijie Chen, Zhongyuan Wang, Chuang Nie, Zhiming Kang, Bin Mei:
Cerebral Thrombus Segmentation in CT Angiography using Refinement Segmentation Network with Context Pooling. 1-9 - Muhammad Nouman, Hollian Sara, Sui Yang Khoo, M. A. Parvez Mahmud, Abbas Z. Kouzani:
Mental Health Prediction through Text Chat Conversations. 1-6 - Sheng Wan, Dashan Gao, Hanlin Gu, Daning Hu:
FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation. 1-8 - Jinyan Zhou, Xingang Wang, Ning Liu, Xiaoyu Liu, Jiandong Lv, Xiaomin Li, Hong Zhang, Rui Cao:
Visual and Linguistic Double Transformer Fusion Model for Multimodal Tweet Classification. 1-8 - Wenzel Pilar von Pilchau, David Pätzel, Anthony Stein, Jörg Hähner:
Deep Q-Network Updates for the Full Action-Space Utilizing Synthetic Experiences. 1-9 - Jian Lan, Mingfeng Xue, Jiancheng Lv:
RulePG: Syntactic Rule-enhanced Paraphrase Generation. 1-8 - Hongjin Tao, Jun Zeng, Yang Yu, Ziwei Wang, Xiaolin Hu:
SynC: A Dense Retrieval Method based on Syntactical Contrastive Learning. 1-8 - Li-Dan Kuang, Hao-Peng Zhang, Jianming Zhang:
Weighted Spatial Pooling Preprocessing for Rank- ($L, L, 1,1$) BTD with Orthonormality: Application to Multi-Subject fMRI Data. 1-7 - Nesar Ahmad Wasi, Muhammad Abulaish:
An Unseen Features Enhanced Text Classification Approach. 1-8 - Quanjiang Guo, Zhao Kang, Ling Tian, Zhouguo Chen:
TieFake: Title-Text Similarity and Emotion-Aware Fake News Detection. 1-7 - Bo Qiao, Huajun Zhou, Lingxiao Yang, Xiaohua Xie:
Few Shot Object Detection with Incompletely Annotated Samples. 1-7 - Min Hu, Jialu Sun, Xiaohua Wang, Ning An:
A Multiscale Dynamic Temporal Convolution Network For Continuous Dimensional Emotion Recognition. 1-9 - Lucas Rojas, Javier Ocaranza, Oscar Cartagena, Doris Sáez, Linda Daniele, Constanza Ahumada:
Robust Energy-Water Management System with Prediction Interval Based on Deep Learning. 1-9 - Jingqi Wang, Jiajie Peng, Zhiming Liu, Hengjun Zhao:
HQProtoPNet: An Evidence-Based Model for Interpretable Image Recognition. 1-8 - Zhaoyu Fan, Ya Tu, Qingjiang Shi:
C-SRCIL: Complex-valued Class-Incremental Learning for Signal Recognition. 1-6 - Yuxiang Sun, Ke Qi, Yicong Zhou, Yutao Qi:
Strip-Cutmix for Person Re-Identification. 1-8 - Wen Yang, Hongjie Wu, Chenwei Tang, Jiancheng Lv:
ST-CA YOLOv5: Improved YOLOv5 Based on Swin Transformer and Coordinate Attention for Surface Defect Detection. 1-8 - Homayoon Farrahi, A. Rupam Mahmood:
Reducing the Cost of Cycle-Time Tuning for Real-World Policy Optimization. 1-8 - Guilherme Carlos, Karla Figueiredo, Abir Hussain, Marley M. B. R. Vellasco:
SegQNAS: Quantum-inspired Neural Architecture Search applied to Medical Image Semantic Segmentation. 1-8 - Na Min An, Hyeonhee Roh, Sein Kim, Jae Hun Kim, Maesoon Im:
Reinforcement Learning Framework to Simulate Short-Term Learning Effects of Human Psychophysical Experiments Assessing the Quality of Artificial Vision. 1-8 - Dong Liu, Yu Hong, Jianmin Yao, Guodong Zhou:
Question Generation via Generative Adversarial Networks. 1-8 - Xurong Lu, Jun Niu:
Enhancing source code summarization from structure and semantics. 1-7 - Bin Lan, Shunzheng Yu:
Detecting Cyber Attacks in Industrial Control Systems Using Spatio-Temporal Autoencoder. 1-8 - Chengju Zhou, Daqin Feng, Lewei He, Nianming Ban, Shuxi Wang, Jiahui Pan:
Automatic Hemiplegia Gait Assessment for Post-Stroke by an Efficient Hybrid Attention-Based GhostNet. 1-9 - Alfateh M. Tag Elsir, Alkilane Khaled, Yanming Shen:
Triplet-contrastive Periodical Siamese Graph Networks for Travel Time Estimation. 1-8 - Matteo Gambella, Manuel Roveri:
EDANAS: Adaptive Neural Architecture Search for Early Exit Neural Networks. 1-8 - Shaopeng Wang, Yanhong Huang, Jianqi Shi, Yang Yang, Xin Guo:
Improving Single-Step Adversarial Training By Local Smoothing. 1-8 - Song Gong, Kaijie Wu, Zhiying Xia, Lihua Ran, Chaochen Gu, Changsheng Lu, Tongkun Guan, Yudi Zhao:
An Oriented Object Detector towards Diatoms. 1-8 - Rui Song, Dai Liu, Dave Zhenyu Chen, Andreas Festag, Carsten Trinitis, Martin Schulz, Alois Knoll:
Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments. 1-10 - Junwei Xiao, Lei Deng, Zhixiang Chen, Xiu Li, Baohua Chen, Hanxi Yin:
Dual-Path Reconstruction Guided Segmentation Network for Unsupervised Anomaly Detection and Localization. 1-8 - Yucheng Fu, Guoheng Sun, Han Yang, Juntian Huang, Haizhou Wang:
Fighting Attacks on Large Character Set CAPTCHAs Using Transferable Adversarial Examples. 1-10 - Subham Raj, Prabir Mondal, Daipayan Chakder, Sriparna Saha, Naoyuki Onoe:
A Multi-modal Multi-task based Approach for Movie Recommendation. 1-8 - Chenyu Liu:
Evaluating Robustness Against Adversarial Attacks: A Representational Similarity Analysis Approach. 1-7 - Sidi Yaya Arnaud Yarga, Sean U. N. Wood:
Accelerating SNN Training with Stochastic Parallelizable Spiking Neurons. 1-8 - Maan Alhazmi, Abdulrahman Altahhan:
Best Fit Activation Functions for Attention Mechanism: Comparison and Enhancement. 1-8 - Hao-Chin Su, Yi-Ling Chen:
CTVAE: Current Task Variational Auto-Encoder with Dynamic Ensemble Loss for Few-Shot Learning. 1-10 - Jiajun Li, Pei-Pei Li, Xuegang Hu:
Semi-supervised Short Text Classification Based On Dual-channel Data Augmentation. 1-8 - Isabella Wu, Xin Wang:
Exploiting Deep Learning for Sentence-Level Lipreading. 1-7 - Yangjie Cao, Haobo Wang, Chenxi Zhu, Yan Zhuang, Jie Li, Xianfu Chen:
Improving the Transferability of Adversarial Examples with Diverse Gradients. 1-9 - Hui Han, Weiyu Zhang, Xu Sun, Wenpeng Lu:
Multi-view Feature Fusion Based on Self-attention Mechanism for Drug-drug Interaction Prediction. 1-8 - Chen Wang, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie:
Online Trajectory Anomaly Detection Based on Intention Orientation. 1-8 - Wenfu Liu, Junjie Peng, Haochen Yuan, Luming Zhang, Zesu Cai:
MHRNet: A Multi-stage Image Deblurring Approach with High-Resolution Representation Learning. 1-8 - Zhuochun Miao, Xingrui Zhuo, Gongqing Wu, Chenyang Bu:
Semantic-Reconstructed Graph Transformer Network for Event Detection. 1-8 - Xiang Zhang, Tao Sun, Chunyan Yang, Zihao Zhang, Xinyan Yin, Mengli Su, Zhibang Quan, Jishu Wei:
Rumor Detection Based on Depth and Breadth with Tree-Structured Recursive Neural Networks. 1-8 - Lukasz Neumann, Lukasz Lepak, Pawel Wawrzynski:
Least Redundant Gated Recurrent Neural Network. 1-10 - Enric Moreu, Eric Arazo, Kevin McGuinness, Noel E. O'Connor:
Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic Data. 1-9 - Noel Elias:
A Novel Score-CAM based Denoiser for Spectrographic Signature Extraction without Ground Truth. 1-8 - Xiaoxuan Li, Lin Ni, Renee Li, Jiamou Liu, Mengxiao Zhang:
MaD: A Dataset for Interview-based BPM in Business Process Management. 1-8 - Junki Mori, Tomoyuki Yoshiyama, Ryo Furukawa, Isamu Teranishi:
Personalized Federated Learning with Multi-branch Architecture. 1-8 - Baowen Xu, Xuelei Wang, Chengbao Liu, Zhenjie Liu, Liwen Kang:
Dual-channel spatio-temporal wavelet transform graph neural network for traffic forecasting. 1-8 - Stefan Iacob, Spyridon Chavlis, Panayiota Poirazi, Joni Dambre:
Delay-Sensitive Local Plasticity in Echo State Networks. 1-8 - Liang Chen, Xueming Yan, Zilong Wang, Han Huang:
Neural Architecture Search with Heterogeneous Representation Learning for Zero-Shot Multi-Label Text Classification. 1-8 - Lu Meng, Chuanhao Yang:
Semantics-guided hierarchical feature encoding generative adversarial network for natural image reconstruction from brain activities. 1-9 - Svetlana Pavlitska, Christian Hubschneider, Lukas Struppek, J. Marius Zöllner:
Sparsely-gated Mixture-of-Expert Layers for CNN Interpretability. 1-10 - Yuta Shiomi, Hiroyuki Torikai:
A novel hardware-efficient ergodic sequential logic spiking neural network and reproductions of biologically plausible spatio-temporal phenomena towards development of neural prosthetic device. 1-8 - Xiu Susie Fang, Quan Z. Sheng, Guohao Sun, Shan Chang, Hongya Wang, Jian Yang:
Multi-Truth Discovery While Being Aware of Unbalanced Data Distribution. 1-10 - Fan Yang, Sheng Xu, Peifeng Li, Qiaoming Zhu:
Chinese Event Temporal Relation Extraction on Multi-Dimensional Attention. 1-8 - Liang Fan, Handing Wang:
Sparse Gate for Differentiable Architecture Search. 1-8 - Yile Li, Xiaoyan Gu, Yinliang Yue, Zhuo Wang, Bo Li, Weiping Wang:
RAN: A Relation-aware Network for Relation Extraction. 1-8 - Chen Chen, Wei Emma Zhang, Alireza Seyed Shakeri, Makhmoor Fiza:
The Exploration of Knowledge-Preserving Prompts for Document Summarisation. 1-8 - Matthieu Dabrowski, José Mennesson, Jérôme C. Riedi, Chaabane Djeraba:
Semi-supervised GAN with sparse ground truth as Boundary Conditions. 1-9 - Junfa Lin, Jiahai Wang:
Diversity-Enhanced Recommendation with Knowledge-Aware Devoted and Diverse Interest Learning. 1-8 - Abhiroop Talasila, Akshaya Karthikeyan, Shanmukh Alle, Maitreya Maity, U. Deva Priyakumar:
Self-Supervision and Weak Supervision for Accurate and Interpretable Chest X-Ray Classification Models. 1-8 - Hu Liu, Yuliang Shi, Jianlin Zhang, Xinjun Wang, Hui Li, Fanyu Kong:
Multi-hop Relational Graph Attention Network for Text-to-SQL Parsing. 1-8 - Paolo Arena, Maria Francesca Pia Cusimano, Luca Patané, Poramate Manoonpong:
A biologically-inspired locally-connected spiking network for efficient and robust ground reaction force estimation in a legged robot. 1-8 - Yaxin Ma, Ming Li, Jun Chang:
A Hierarchical Vision Transformer Using Overlapping Patch and Self-Supervised Learning. 1-7 - Zhengji Xuan, Dongdong Li, Zhe Wang, Hai Yang:
Mixed Entropy Down-Sampling based Ensemble Learning for Speech Emotion Recognition. 1-8 - Fangzhi Ma, Guanyu Xing, Yanli Liu:
Video-based Driver Action Recognition via Spatial-Temporal and Motion Deep Learning. 1-9 - Tenshi Ito, Hiroki Adachi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Analyzing the Accuracy, Representations, and Explainability of Various Loss Functions for Deep Learning. 1-8 - Jingyun Jia, Philip K. Chan:
Feature Decoupling in Self-supervised Representation Learning for Open Set Recognition. 1-8 - Jindian Su, Hong Yu:
Unified Named Entity Recognition as Multi-Label Sequence Generation. 1-8 - Yinchu Wang, Haijiang Zhu, Guanghui Wang:
PST-Net: Point Cloud Completion Network Based on Local Geometric Feature Reuse and Neighboring Recovery with Taylor Approximation. 1-8 - Yawei Zhao, Xiaoyang Song:
TextGCL: Graph Contrastive Learning for Transductive Text Classification. 1-8 - Zhiwei Zhao, Xiaoye Wang, Yingyuan Xiao:
Combining Multi-Head Attention and Sparse Multi-Head Attention Networks for Session-Based Recommendation. 1-8 - Naoto Yoshida, Hoshinori Kanazawa, Yasuo Kuniyoshi:
Homeostatic Reinforcement Learning through Soft Behavior Switching with Internal Body State. 1-8 - Zhaoyang Wang, Shuo Wang:
Online Automated Machine Learning for Class Imbalanced Data Streams. 1-8 - Yiyuan Yang, Rongshang Li, Qiquan Shi, Xijun Li, Gang Hu, Xing Li, Mingxuan Yuan:
SGDP: A Stream-Graph Neural Network Based Data Prefetcher. 1-8 - Yifan Hu:
BSDGAN: Balancing Sensor Data Generative Adversarial Networks for Human Activity Recognition. 1-8 - Qipeng He, Jian Zhang, Xueting Huang:
Improved Word Sense Disambiguation via Prompt-based Contextual Word Representation. 1-8 - Yujie Chang, Tianliang Liu, Qinchao Xu, Xinyu Zhao, Xun Xiao, Zhengjie Wang:
Multimodal Video Emotional Analysis of Time Features Alignment and Information Auxiliary Learning. 1-8 - Rinor Cakaj, Jens Mehnert, Bin Yang:
Spectral Batch Normalization: Normalization in the Frequency Domain. 1-10 - Cheng Zhao, Liansheng Zhuang, Yihong Huang, Haonan Liu:
Curriculum Learning Based Multi-Agent Path Finding for Complex Environments. 1-8 - Noha Khattab, Shadi Abpeikar, Kathryn Kasmarik, Matthew Garratt:
Autonomous Recognition of Collective Motion Behaviours in Robotic Swarms from Video using a Deep Neural Network. 1-8 - Liwang Zhou, Jing Gao:
Temporal Spatial Decomposition and Fusion Network for Time Series Forecasting. 1-10 - Erik Ostrowski, Bharath Srinivas Prabakaran, Muhammad Shafique:
SILOP: An Automated Framework for Semantic Segmentation Using Image Labels Based on Object Perimeters. 1-9 - Zezhou Zhu, Yuan Dong, Zhong Zhao:
Learning Low-Rank Representations for Model Compression. 1-9 - Pierre Bras, Gilles Pagès:
Langevin Algorithms for Markovian Neural Networks and Deep Stochastic Control. 1-8 - Mattias Nilsson, Ton Juny Pina, Lyes Khacef, Foteini Liwicki, Elisabetta Chicca, Fredrik Sandin:
A Comparison of Temporal Encoders for Neuromorphic Keyword Spotting with Few Neurons. 1-7 - Qiaoping He:
A Multi-feature Integration Descriptor for Instance Image Retrieval. 1-8 - Harrison Espino, Robert Bain, Jeffrey L. Krichmar:
Selective Memory Replay Improves Exploration in a Spiking Wavefront Planner. 1-8 - Chengling Xiao, Dongdong Zhang, Chengyu Sun:
Detection of Electric Component Based on Improved Faster-RCNN. 1-8 - Mingrong Xiang, Wei Luo, Jingyu Hou, Wenjing Tao:
Embracing the dropouts in single-cell RNA-seq dynamics modelling. 1-8 - Deqi Liu, Aimin Li, Mengfan Cheng, Dexu Yao, Xiaohan Liu:
A Multi-correspondence Object Detection Algorithm Based on Keypoints. 1-7 - Anna Vettoruzzo, Mohamed-Rafik Bouguelia, Thorsteinn S. Rögnvaldsson:
Meta-Learning from Multimodal Task Distributions Using Multiple Sets of Meta-Parameters. 1-8 - Juyang Weng:
A Protocol for Testing Conscious Learning Robots. 1-9 - Kohei Fukuda, Takio Kurita, Hiroaki Aizawa:
Neural Radiance Fields with Regularizer Based on Differences of Neighboring Pixels. 1-7 - Yingjie Liu, Xian Wei, See-Kiong Ng, Tongtong Zhang, Mingsong Chen, Xuan Tang:
SparGE: Sparse Coding-based Patient Similarity Learning via Low-rank Constraints and Graph Embedding. 1-10 - Ting Zhang, Xin Huang, Wen Zhao, Shaohuang Bian, Peng Du:
LogPrompt: A Log-based Anomaly Detection Framework Using Prompts. 1-8 - Jing Xu, Gorka Abad, Stjepan Picek:
Rethinking the Trigger-injecting Position in Graph Backdoor Attack. 1-8 - Cory Kromer-Edwards, Suely Oliveira:
Finding, and Countering, Future Resistance using Bacterial Antibiotic Adversarial Genetic Algorithm (BAAGA). 1-8 - Jinyu Mo, Hong Xie, Xiaoyu Shi, Mingsheng Shang:
CGCCMR: An Enhanced Multi-gate Model for Cross-Market Recommendation. 1-8 - Chengzhuan Bao, Dehua Chen, Mei Wang, Qiao Pan:
Causal Visual Feature Extraction for Image Classification Interpretation. 1-8 - Faseela Abdullakutty, Eyad Elyan, Pamela Johnston:
Unmasking the Imposters: Task-specific feature learning for face presentation attack detection. 1-8 - Xinyue Wang, Zhicheng Cai, Chenglei Peng:
X-MLP: A Patch Embedding-Free MLP Architecture for Vision. 1-8 - Longze He, Boyu Hou, Junwei Dong, Liang Feng:
Two-stage Neural Architecture Optimization with Separated Training and Search. 1-8 - Yingchun Wang, Jingcai Guo, Jie Zhang, Song Guo, Weizhan Zhang, Qinghua Zheng:
Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models. 1-8 - Xiaoyan Feng, Mingyang Dai:
Leveraging Node Attributes for Link Prediction via Meta-path Based Proximity. 1-8 - Jianbin Shen, Junyu Xuan, Christy Jie Liang:
A Determinantal Point Process Based Novel Sampling Method of Abstractive Text Summarization. 1-8 - Yunming Liu, Yuxuan Pan, Kaiyue Luo, Yu Liu, Lin Zhang:
FEAMNet: Light Field Depth Estimation Network Based On Feature Extraction and Attention Mechanism. 1-8 - Xuliang Li, Junbin Gao:
Audioset classification with Graph Convolutional Attention model. 1-6 - Sachin Kumar Danisetty, Santhosh Reddy Mylaram, Pawan Kumar:
Adaptive Consensus Optimization Method for GANs. 1-8 - Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis:
PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks. 1-8 - Chengzhi Jiang, Linjing Li, Daniel Dajun Zeng, Xiaoxuan Wang:
A Character-level Short Text Classification Model Based On Spiking Neural Networks. 1-8 - Giovanni Ciaramella, Fabio Martinelli, Francesco Mercaldo, Antonella Santone:
Exploring Quantum Machine Learning for Explainable Malware Detection. 1-6 - Yin Tang, Xili Wan, Yaping Wu, Xinjie Guan, Aichun Zhu:
C2SFormer: Rethinking the Local-Global Design for Efficient Visual Recognition Model. 1-9 - Ye Ding, Li Lu, Ziyuan Liu, Songjie Wu, Qing Liao:
FAU-Gaze: Fast and Accurate User-specific Gaze Estimation Framework. 1-8 - Taif Anjum, Daya Kumar, Apurva Narayan:
Spatio-temporal Analysis of Dashboard Camera Videos for Time-To-Accident Forecasting. 1-8 - Umer Mushtaq, Jérémie Cabessa:
Argument Mining with Modular BERT and Transfer Learning. 1-8 - Fatim Z. Habbab, Michael Kampouridis, Tasos Papastylianou:
Improving REITs Time Series Prediction Using ML and Technical Analysis Indicators. 1-8 - Sariah Mghames, Luca Castri, Marc Hanheide, Nicola Bellotto:
A Neuro-Symbolic Approach for Enhanced Human Motion Prediction. 1-8 - Liangshan Lou, Ke Lu, Jian Xue:
A Novel Cross-Fusion Method of Different Types of Features for Image Captioning. 1-8 - Hanxiao Tan:
The Generalizability of Explanations. 1-8 - Guangzhi Zhao, Yuting Hou, Kedian Mu:
Mutually Promoted Hierarchical Learning for Incremental Implicitly-Refined Classification. 1-9 - Petia D. Koprinkova-Hristova, Dimitar P. Filev, Simona Nedelcheva, Svetlozar Yordanov, Nikola K. Kasabov:
On-line Learning, Classification and Interpretation of Brain Signals using 3D SNN and ESN. 1-6 - Faizanuddin Ansari, Swagatam Das, Pourya Shamsolmoali:
Handling Class Imbalance by Estimating Minority Class Statistics. 1-8 - Xiaoyu Wang, Pengyu Xu, Mingyang Song, Liping Jing:
Bootstrap Decomposition Enhanced Orthogonal-Basis Projection Model for Long-term Time Series Forecasting. 1-9 - Söhnke Benedikt Fischedick, Daniel Seichter, Robin Schmidt, Leonard Rabes, Horst-Michael Gross:
Efficient Multi-Task Scene Analysis with RGB-D Transformers. 1-10 - Yongjie Zhu, Yukun Yan, Qilong Han:
PFED-AGG: A Personalized Private Federated Learning Aggregation Algorithm. 1-8 - Haokai Ma, Zhuang Qi, Xinxin Dong, Xiangxian Li, Yuze Zheng, Xiangxu Meng, Lei Meng:
Cross-Modal Content Inference and Feature Enrichment for Cold-Start Recommendation. 1-8 - Fan Yi, Jiaxiang Wu, Minyi Zhao, Shuigeng Zhou:
Anime Character Identification and Tag Prediction by Multimodality Modeling: Dataset and Model. 1-8 - Mohammad Reza Zarei, Michael Christensen, Sarah Everts, Majid Komeili:
Vax-Culture: A Dataset for Studying Vaccine Discourse on Twitter. 1-8 - Chengpeng Hu, Jiyuan Pei, Jialin Liu, Xin Yao:
Evolving Constrained Reinforcement Learning Policy. 1-8 - Weiwei Zhang, Linmei Hu, Yuting Wei, Bin Wu:
Verbalizer or Classifier? A New Prompt Learning Model for Event Causality Identification. 1-7 - Tianhe Lu, Gongshen Liu, Ru Zhang, Peixuan Li, Tianjie Ju:
Robust Secret Data Hiding for Transformer-based Neural Machine Translation. 1-8 - Dinesh Singh, Héctor Climente-González, Mathis Petrovich, Eiryo Kawakami, Makoto Yamada:
FsNet: Feature Selection Network on High-dimensional Biological Data. 1-9 - Ran Dou, José C. Príncipe:
Dynamic Analysis and an Eigen Initializer for Recurrent Neural Networks. 1-6 - Sizheng Fu, Chunjie Cao, Fangjian Tao, Binghui Zou, Xiaoyu Lin, Jingzhang Sun:
LGWAE: Label-Guided Weighted Autoencoder Network for Flexible Targeted Attacks of Deep Hashing. 1-9 - Junjun Chen, Qiang Guo, Zhongnan Fu, Qun Shang, Hao Ma, Nai Wang:
Semi-supervised Campus Network Intrusion Detection Based on Knowledge Distillation. 1-7 - Chenchen Fan, Yixin Wang, Yahong Zhang, Wenli Ouyang, Sheng Shi, Wei Fan, Jianping Fan:
Learnable Query Guided Representation Learning for Treatment Effect Estimation. 1-8 - Karthikeswaren Ramachandran, Kanishka Kayathwal, Hardik Wadhwa, Gaurav Dhama:
FraudAmmo: Large Scale Synthetic Transactional Dataset for Payment Fraud Detection. 1-7 - Ziyun Li, Xinshao Wang, Neil M. Robertson, David A. Clifton, Christoph Meinel, Haojin Yang:
SMKD: Selective Mutual Knowledge Distillation. 1-8 - Yihong Zhang, Takahiro Hara, Lina Yao:
Biased or Debiased: Polarization-aware Embedding Learning from Social Media Knowledge Graph. 1-8 - Laura von Rüden, Jochen Garcke, Christian Bauckhage:
How Does Knowledge Injection Help in Informed Machine Learning? 1-8 - Hongliu Cao, Minh Nhat Do, Alexis Ravanel, Eoin Thomas:
Inclusive normalization of face images to passport format. 1-9 - Junjie Cui, Yi Zhang, Min Xie, Haixian Zhang:
A Multi-task Network with Centerline Supervision for 3D Pelvis Artery Segmentation on CECT images. 1-8 - Quansheng Liu, Chengdao Pu, Fang Gao, Jun Yu:
Prototypical Contrastive Learning for Domain Adaptive Semantic Segmentation. 1-9 - Chengpeng Hu, Ziming Wang, Jialin Liu, Junyi Wen, Bifei Mao, Xin Yao:
Constrained Reinforcement Learning for Dynamic Material Handling. 1-9 - Guangqi Zhu, Jian Xu, Xingxian Liu, Yunling Feng, Yajing Xu:
Weighted Keywords-Guided feature Extraction and Reasoning Network for Visual Grounding. 1-7 - Philip Kenneweg, Leonardo Galli, Tristan Kenneweg, Barbara Hammer:
Faster Convergence for Transformer Fine-tuning with Line Search Methods. 1-8 - Chiaming Hsu, Changtong Zan, Liang Ding, Longyue Wang, Xiaoting Wang, Weifeng Liu, Fu Lin, Wenbin Hu:
Prompt-Learning for Cross-Lingual Relation Extraction. 1-9 - Jian-Ping Mei, Jie Chen, Xinkai Chu:
Data-Locked Knowledge Distillation with Ready-To-Use Substitutes. 1-8 - Saima Absar, Yongkai Wu, Lu Zhang:
Neural Time-Invariant Causal Discovery from Time Series Data. 1-8 - Le Fang, Chuan Wu:
HES: Edge Sampling for Heterogeneous Graphs. 1-8 - Chengkai Ren, Jian Zhang, Hongwei Wang, Shuguang Shen:
Vision Graph Convolutional Network for Writer-Independent Offline Signature Verification. 1-7 - Aobo Xu, Ling Jian:
A Deep News Headline Generation Model with REINFORCE Filter. 1-7 - Shu Liu, Zhiqiang Ye, Jian Liao, Jinxin Wu, Zhao Li:
Unsupervised Product Title Optimization Based on Search Behavior Knowledge in E-commerce. 1-8 - Wei Li, Bowen Hou, Shitong Shao, Wei Huan, Ye Tian:
Spatial-Temporal Constraint Learning for Cross-Subject EEG-Based Emotion Recognition. 1-8 - Lixiang Xu, Haifeng Liu, Qingzhe Cui, Bin Luo, Ning Li, Yan Chen, Yuanyan Tang:
UGTransformer: Unsupervised Graph Transformer Representation Learning. 1-8 - Jinshan Zeng, Ling Tu, Jie Zhou, Yefei Wang, Jiguo Zeng:
Enhancing Chinese Calligraphy Generation with Contour and Region-aware Attention. 1-9 - Stuti Chug, Vandana Agarwal:
MFO-SENN: Self-evolving Radial Basis Function Neural Network using Moth Flame Optimization for Motor Imagery task Classification. 1-10 - Xinyi Zhang, Tao Dai, Bin Chen, Shu-Tao Xia:
DDA: A Dynamic Difficulty-aware Data Augmenter for Image Super-resolution. 1-8 - Yasser Khalafaoui, Basarab Matei, Nistor Grozavu, Martino Lovisetto:
Joint Multi-View Collaborative Clustering. 1-7 - Jingpei Dan, Tianyuan Zhang, YuMing Wang:
Double Granularity Graph Network For Chinese Legal Question Answering. 1-8 - Zhiping Liang, Haolan Zhan:
CL-CSP: Contrastive Learning with Continuous Semantic Perturbations for Neural Dialogue Generation. 1-8 - Juntao Zhang, Peng Cheng, Zehan Li, Hao Wu, Wenbo An, Jun Zhou:
A feature engineering method for machine learning inspired by quantum mechanics. 1-8 - Lin Li, Chao Chen, Lei Pan, Jun Zhang, Yang Xiang:
SigD: A Cross-Session Dataset for PPG-based User Authentication in Different Demographic Groups. 1-8 - Yu Feng, Pengcheng Zhao, Yadong Guo, Xue Zhao, Wangli Hao, Ran Zhao, Fuzhong Li:
Maintaining Distinction and Fairness in Data-Free Class Incremental Learning. 1-7 - Zhilin Liao, Xiangting Hou, Dongfang Lou, Yi-Ming Chen, Ningyu Zhang:
CAMVR: Context-Adaptive Multi-View Representation Learning for Dense Retrieval. 1-8 - Akshay Sethi, Sonia Gupta, Ayush Agarwal, Nancy Agrawal, Siddhartha Asthana:
Auto-TabTransformer: Hierarchical Transformers for Self and Semi Supervised Learning in Tabular Data. 1-8 - Sourajit Mukherjee, Adam Jatowt, Raghvendra Kumar, Anubhav Jangra, Sriparna Saha:
Can Multimodal Pointer Generator Transformers Produce Topically Relevant Summaries? 1-8 - Wei Zhang, Yang Cao, Junhai Zhai:
SwinVI:3D Swin Transformer Model with U-net for Video Inpainting. 1-8 - Meng Pang, Yuchen Li, Zhaolin Li, Youhui Zhang:
FABLE: A Development and Computing Framework for Brain-inspired Learning Algorithms. 1-10 - Marcos Vinicius Ferreira, Tiago J. S. Lopes, Ricardo Araújo Rios, Tatiane Nogueira Rios:
Modeling Protein Activities and Mutations with Graph Neural Networks: Insights into Hemophilia. 1-8 - Sarmistha Das, Tuhinangshu Gangopadhyay, Atulya Deep, Sriparna Saha, Alka Maurya:
"Find the Table": A Contrastive Learning-based Approach with Faster RCNN for Establishing Tabular Entity Relationships. 1-8 - Xin-Wei Yao, Chuan He, Weiwei Xing, Qi-Chao Lu, Xin-Ge Zhang, Yu-Chen Zhang:
DDIN: Deep Disentangled Interest Network for Click-Through Rate Prediction. 1-8 - Bingtao Ma, Yang Cong:
Angular Penalty for Few-Shot Incremental 3D Object Learning. 1-7 - Peng Zhang, Xuheng Bai, Jing Zhao, Yan Liang, Fuqiang Wang, Xiaoming Wu:
Speech Emotion Recognition Using Dual Global Context Attention and Time-Frequency Features. 1-7 - Satyam Srivastava, Heena Rathore, Kamlesh Tiwari:
CEMDQN: Cognitive-inspired Episodic Memory in Deep Q-networks. 1-6 - Dinesh Singh:
Graph Representation for Weakly-Supervised Spatio-Temporal Action Detection. 1-9 - Wenjie Rao, Sheng-hua Zhong:
EEG Model Compression by Network Pruning for Emotion Recognition. 1-8 - Yuqing Wang, Zhuang Qi, Xiangxian Li, Jinxing Liu, Xiangxu Meng, Lei Meng:
Multi-channel Attentive Weighting of Visual Frames for Multimodal Video Classification. 1-8 - Andrew Shi, Wei Feng:
Triple Consistency-based Self-ensembling Model for Unsupervised Domain Adaption in Medical Image Segmentation. 1-7 - Gautham Venugopal, Bapi Surampudi Raju:
Modelling Grid Navigation Using Reinforcement Learning Linear Ballistic Accumulators. 1-8 - Fei Pan, Jie Guo, Yanwen Guo:
Few-Shot Action Recognition with A Transductive Maximum Margin Classifier. 1-7 - Azarakhsh Jalalvand, Ors Asztalos, Mate Karacsonyi, Gergo I. Pokol:
Application of neural networks in beam emission spectroscopy modelling. 1-8 - Enmin Zhao, Junliang Xing, Kai Li, Yongxin Kang, Pin Tao:
Pseudo Value Network Distillation for High-Performance Exploration. 1-8 - Wanting Gao, Xinyi Gao, Yin Tang:
Multi-Turn Dialogue Agent as Sales' Assistant in Telemarketing. 1-9 - Yimo Ren, Jinfa Wang, Hong Li, Hongsong Zhu, Limin Sun:
User Recognition of Devices on the Internet based on Heterogeneous Graph Transformer with Partial Labels. 1-8 - Jiayang Wang, Zheng Wan, Chao Wang, Wenwen Du:
A Person Re-Identification Method Incorporating Multigrain Features and Human Body Knowledge. 1-8 - Jiaxin Zou, Xianghong Xu, Jiawei Hou, Qiang Yan, Hai-Tao Zheng:
Self-supervised Bidirectional Prompt Tuning for Entity-enhanced Pre-trained Language Model. 1-8 - Fumin Chen, Xu Wang, Xiaohui Liu, Dezhong Peng:
A Trigger-Free Method Enhanced by Coreference Information for Document-Level Event Extraction. 1-8 - Xudong Luo, Long Ye, Xiaolan Liu, Xiaohao Wen, Qin Zhang:
Pruning of Dendritic Neuron Model with Significance Constraints for Classification. 1-8 - Janayna M. Fernandes, Guilherme M. Suzuki, Liang Zhao, Murillo G. Carneiro:
Data classification via centrality measures of complex networks. 1-8 - Adam Piróg, Halina Kwasnicka:
Snapshot Spectral Clustering - a costless approach to deep clustering ensembles generation. 1-8
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